National School of Artificial Intelligence (ENSIA)

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United Kingdom, Southampton

Programmer (python/C) in the Collaborative Computing Project 4 Macromolecular Crystallography.

We look for a programmer in the field of macromolecular crystallographic computing. We seek to develop, implement, and apply methodology for identification and examination of multiple structural states and conformations for this, and will employ the Bayesian decomposition we have developed. Any development is to be implemented within the programs servalcat/refmac for the CCP4 computing programming suite and released publicly.

The successful candidate will be knowledgeable in crystallographic theory and able to code. The post will be based at Southampton with regular research visits to the LMB Cambridge and to the Research Complex at Harwell for interaction with the CCP4 core team. The project has a focus on time resolved work and cooperates with the UK XFEL hub at the Diamond Light Source. This contract is initially 15 month, but may be extended.

Applications for Research Fellow positions will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification. The title of Research Fellow will be applied upon successful completion of the PhD. Prior to the qualification being awarded the title of?Senior Research Assistant?will be given.


University of Southampton

Morocco

About UM6P:
Mohammed VI Polytechnic University (UM6P) is an internationally oriented institution of higher learning, that is committed to an educational system based on the highest standards of teaching and research in fields related to the sustainable economic development of Morocco and Africa. UM6P is an institution oriented towards applied research and innovation. On a specific focus on Africa, UM6P aims to position these fields as the forefront and become a university of international standing.

More than just a traditional academic institution, UM6P is a platform for experimentation and a pool of opportunities, for students, professors and staff. It offers a high-quality living and study environment thanks to its state-of-the-art infrastructure. With an innovative approach, UM6P places research and innovation at the heart of its educational project as a driving force of a business model.

About Entity (Hiring entity):
MAScIR is a non-profit association under the auspices of Mohammed VI Polytechnic University. Created in 2007, it aims to promote and develop technological research clusters in the fields of materials and nanomaterials, biotechnology, microelectronics and life sciences. Its work is geared towards applied research and innovation to meet market needs.

Description of the position:
??? ?Design, development, and demonstration of novel strategies and methodologies for application of functional molecules in material science.
·?? ?Use a combination of modern synthetic, and bioresource materials to develop a novel range of materials from nano, molecular and macromolecular structure.
·?? ?A deep understanding of fundamental mechanisms and structure-property relationships
·?? ?Mentor junior researchers associated with the program while collectively achieving program milestones on schedule.
·?? ?Play a key role in maintaining a robust and inclusive safety culture.
·?? ?Publish in peer-reviewed journals, contribute to scientific research papers, reports, and review articles, and deliver impactful oral reports.
?


Education
A Ph.D. in Materials science or related field.
Requirement
A PhD in Material Science, Chemistry, or a related field completed within the last 3 years.
·?? ?Experience with organic synthesis and analytical chemistry.
·?? ?Experience with materials preparation techniques.
·?? ?Demonstrated hands-on experimental work experience. An excellent record of productive and creative research demonstrated by publications in peer-reviewed journals.
·?? ?Experience with or basic understanding of FTIR, NMR, MS, SEM, TEM, and XRD equipment and related analysis.
·?? ?Experience in the preparation and handling of scientific manuscripts, reports, and research posters.
·?? ?Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory.
·?? ?Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever-changing needs.
?


Mohammed VI Polytechnic University

$146,324 to $193,296 p.a., plus 17% employer's superannuation

Australia, Macquarie Park


	Salary Package: Lecturer (Level C), from $146,324 to $168,275 p.a. or Associate Professor (Level D) $175,731 - $193,296 p.a., plus 17% employer's superannuation and annual leave loading
	Appointment Type: Full time, continuing position
	Macquarie University (North Ryde) location


The Role

We seek a highly motivated exercise/sports scientist to join our department as Senior Lecturer or Associate Professor for appointment to the Research and Teaching (comprehensive) job family. You will have expertise in teaching and/or research in motor control and learning / skill acquisition and be able to contribute to one or more of the other sub-disciplines of exercise and sports science of biomechanics, exercise physiology, sports psychology and/or exercise prescription.

Reporting to the Head of Department, the comprehensive Teaching and Research Academic will be expected to actively engage in a research program, contribute to the teaching of exercise and sports science at undergraduate level, supervise higher degree research students, and fulfil service roles to the Department and/or Faculty.

About You

You will be actively engaged in exercise and sports science, research and/or education, with expertise in motor control and learning / skill acquisition; you may also be able to contribute to the other sub-disciplines of exercise and sports science. You will have experience with, or a willingness to embrace, educational technology, blended learning and educational innovation. In addition, ideally you will be able to demonstrate an understanding of the integration between research/practice and quality teaching, and how this integration can enhance student engagement.

About Us

The Faculty of Medicine, Health and Human Sciences (FMHHS) is ambitiously pushing the boundaries of progressive thinking and challenging what's possible to solve some of the big issues of our time, both nationally and on a global scale.

The Faculty's current education suite includes courses in exercise and sports science, clinical science, physiotherapy, medicine and public health, psychology, cognitive sciences, linguistics, audiology, and speech pathology. The Faculty forms part of MQ Health, an integrated academic health sciences enterprise which incorporates Macquarie University Hospital and primary and speciality clinics. We have active research programs in exercise and sports science, neurosciences, health systems and patient safety research, cancer medicine, and clinical sciences, amongst others. The Department of Health Sciences comprises academics and researchers from exercise and sports science, physiotherapy, population health, and lymphoedema management. In research, the department includes the Biomechanics, Physical Performance, and Exercise (BioPPEx) research group, a multi-disciplinary group that focuses on improving performance and decreasing injuries in humans.

We foster a values-based culture of innovation and creativity to achieve excellence in teaching and to enhance the research performance of the University. We invest in developing the careers and wellbeing of our students and staff and expect all our leaders to live our values of Caring, Integrity, Teamwork, Ambition, Innovation, and Engagement.

Macquarie is a university engaged with the real and often complex problems and opportunities that define our lives. Since our foundation in 1964, we have aspired to be a different type of university. Over the years, we've grown to become the centre of a vibrant local and global community. Connect with us today.

To Apply

To be considered for this position, please apply online by submitting your cv and a separate (2-page maximum) cover letter that demonstrates, point-by-point, how you meet the following selection criteria. You must individually respond to each selection criteria.

Essential


	Tertiary qualification in exercise science or sports science, including a PhD in the area of motor control and learning / skill acquisition?
	Demonstrated experience in teaching in exercise and sports science with expertise in motor control/learning in an academic setting
	Demonstrated experience in teaching in additional sub-disciplines of exercise and sports science in an academic setting
	A commitment and capability to deliver high-quality learning and teaching in exercise and sports science, including the design, delivery, and management of online content, lectures, tutorials, and assessments?
	A well-articulated research agenda and a track record of publications in high-quality journals
	A demonstrated ability to attract external funding for research and a record of competitive grant successes
	Experience with research student supervision


Desirable for all applicants


	Current accreditation with Exercise and Sports Science Australia (ESSA), or the ability and willingness to gain


Appointment to either Senior Lecturer or Associate Professor will be in accordance with demonstrated qualifications, skills, and experience.

Specific role requirements

This position requires criminal record and qualifications checking.

Please note this position is only open to Australian citizens, permanent residents and those currently residing in Australia with full working rights.

Specific Role Enquiries: A/Prof Tim Doyle, tim.doyle@mq.edu.au
General Enquiries: A/Prof Louise Koelmeyer, louise.koelmeyer@mq.edu.au

Applications Close: Tuesday 28 January 2025 at 11:59 PM AEDT

We reserve the right to progress or decline an application prior to the application closing date.

Diversity and Inclusion

Innovation and ingenuity thrive at Macquarie University when diversity, equity and inclusion take centre stage. At the University, we embrace a culture where diversity of background, experience and perspective are fundamental to our success.

We do not discriminate on gender identity, age, culture, disability, sexuality, Indigeneity, family and caring responsibilities or religion. See our journey towards leadership in Equity, Diversity and Inclusion in Higher Education.

Flexible Work

At Macquarie, we believe by providing flexibility in when, where and how work is done, we can support our staff to manage their personal commitments, while optimising their work performance and contributions to the University. See how we lead in flexible work to enable an outcome focused and inclusive workplace. To learn more about our culture and hiring process, explore our Candidate Resource Hub.


Macquarie University

Hong Kong

Ref.:?530910
Work type:?Full-time
Department:?Department of Pathology, School of Clinical Medicine (21200)
Categories:?Senior Research Staff & Post-doctoral Fellow

Applications are invited for appointment as?Post-doctoral Fellow in the Breast Cancer Genetics Research Laboratory in the Department Pathology, School of Clinical Medicine (Ref 530910), to commence as soon as possible for three years, with the possibility of renewal subject to satisfactory performance.

Applicants should have a Ph.D./Masters degree in Biomedical Sciences, Biological Science, or a related discipline. Preference will be given to those with experience in cancer biology, molecular biology, and animal work. Applicants in addition to good interpersonal and communication skills, a strong sense of responsibility and commitment, organized and able to work independently as well as in a team. Enquiries about the post should be sent to Prof. Ui-Soon Khoo at?uskhoo@pathology.hku.hk.

A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits.

The University only accepts online application for the above post.? Applicants should apply online and upload an up-to-date C.V.? Review of applications will start as soon as possible and continue until?February 28, 2025, or until the post is filled, whichever is earlier.


The University of Hong Kong

CRSA – Postdoctoral in Leveraging AI for enhanced weather and climate prediction in Morocco

About UM6P:
Located in the heart of Benguerir’s future Green City, Mohammed VI Polytechnic University (UM6P) is an internationally oriented higher education institution dedicated to driving development in Morocco and across Africa. UM6P focuses on research and innovation to support education and sustainable development. With state-of-the-art infrastructure, UM6P has built a strong academic and research network and seeks to recruit high-quality professionals to enhance its research- focused environment, based near Marrakech.

About CRSA:
The Center for Remote Sensing Applications (CRSA) is an interdisciplinary research center within UM6P that spans multiple academic programs. CRSA focuses on addressing food and water security challenges in Africa, with a particular emphasis on the use of multi-source remotely sensed data. The center’s research aims to improve the understanding of surface processes and their interactions with climate and human activities, with an emphasis on the sustainable management of natural resources (soil, land, water, and agriculture) in the context of climate change. One of CRSA’s primary objectives is to provide decision- support tools and services to local, national, and international users in water and food systems.

Job Description:
Over the past few years, advances in computational power and the increasing availability of large volumes of remote sensing data with finer spatial and temporal resolutions have significantly transformed the way we approach climate and weather forecasting. These technological advancements have paved the way for innovations, such as the integration of artificial intelligence (AI) into real-time data analysis. This integration can revolutionize the interpretation of remote sensing data, allowing for rapid decision-making in critical situations, such as during natural disasters. AI models can process big datasets efficiently, helping to make informed, unbiased decisions, and ensuring resources are distributed to those most in need. Additionally, when combined with modeling experiments or enhanced research in parameterization, AI is accelerating computational processes, improving prediction accuracy, and enabling the creation of extensive model ensembles at a reduced cost.


In this context, we are looking for a highly motivated postdoctoral researcher to join our team at the CRSA to develop AI models, specifically deep learning approaches, to analyze and predict key climate variables such as precipitation and temperature which are essential for forecasting extreme events. These models will be applied to Morocco’s arid and semi-arid regions, aiming to produce more accurate predictions of droughts and floods. These enhanced climate and weather predictions will contribute to safeguarding food production, ensuring proactive water management strategies, and reducing the health risks associated with extreme weather conditions, particularly in rural areas heavily reliant on agriculture.
?
Key Duties
??? ?Improve the accuracy of predicting climate variables like precipitation, temperature, and soil moisture by leveraging large multi-source datasets from remote sensing, IoT sensors, and climate models.
??? ?Design and implement deep learning models for forecasting extreme weather events such as floods, droughts, and heatwaves, integrating probabilistic approaches to account for uncertainties.
??? ?Use data assimilation techniques to combine observational data with AI models, improving real time forecasting accuracy.
??? ?Collaborate with hydrologists, climatologists, and data scientists to ensure models are well grounded in scientific understanding.
??? ?Design and conduct fieldwork to validate model predictions and improve the performance of deep learning approaches.
??? ?Publish research findings in high-impact scientific journals and present the results at international conferences.
??? ?Contribute to the supervision of Master’s and Ph.D students.
Qualifications
??? ?Ph.D. in Artificial Intelligence, Data Science, Climate Science, Geoinformatics, Applied and Computational Mathematics, or related fields.
??? ?Proven experience in developing deep learning models (e.g., CNNs, RNNs, LSTMs) for large-scale environmental data analysis.
??? ?Familiarity with theoretical and practical aspects of scientific deep learning;
??? ?Proficiency in programming languages such as Python and R.
??? ?Strong experience working with climate and remote sensing datasets for environmental applications.
??? ?Experience with high-performance computing and analysis of large datasets;
??? ?A good track record of published research in peer-reviewed scientific journals.
??? ?Ability to work in an interdisciplinary team and communicate scientific results effectively.
?


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National School of Artificial Intelligence (ENSIA)