Hatyai University

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Czech Republic, Brno

Department:?Department of Public Health?–?Faculty of Medicine
Deadline:?21 Jan 2025
Start date:?Immediately or by agreement
Job type:?full-time | part-time
Job field:?Science and research | Education and schooling

The Dean of the Faculty of Medicine of Masaryk University appoints a?selection procedure for the position

Instructor/Assistant Professor at the Department of Public Health of the Faculty of Medicine MU

The Department of Public Health is an educational and research workplace of the Medical Faculty of MU. Provides teaching of students in theoretical and preclinical fields.

You can also learn more about us on our?website,?Facebook?or?Instagram.

The workplace:?Brno, the Czech Republic
Employment:?Full-time/part-time – based on agreement
Start date:?Immediately – based on agreement

The scope of your work will be:


	Participation in theoretical and practical teaching focused on the epidemiology of infectious diseases and healthcare facility hygiene
	Preparation of study and teaching materials
	Independent research and development activities, including publishing and presenting research results
	Contribution to the organizational support of research and teaching activities


Required qualification:


	For the position of Instructor:?Completed master's?degree in a?healthcare field (preferably General Medicine, General Nursing, or Public Health)
	For the position of Assistant Professor:?Completed doctoral degree (Ph.D.)
	Practical experience in the field and teaching experience are an advantage
	Ability to conduct independent professional and scientific work, including publication activity
	Capability to actively participate in international conferences or professional seminars
	Proficiency in the English language
	Excellent command of the Czech language, both spoken and written
	Active approach, initiative, and willingness for further education
	Civic and moral integrity


We offer:


	Work in an inspiring intellectual environment
	Involvement in teaching in a?unique simulation centre
	Professional growth and the possibility of continuous education
	employee benefits (8 weeks holiday, supplementary pension insurance, free vaccination against tick-borne encephalitis and more)


How to apply:

Send your application by the above-written deadline -?please use the link in the Electronic Application section (see below).

Your application must include the following documents:


	a structured CV
	an overview of scientific and publishing activities
	photocopies of qualification papers and diplomas
	names and contact details (phone +?email) of at least two references


After successfully sending your application, you will receive an automatic confirmation by e-mail. You can request more information from Mgr. Adéla Pazderová by e-mail:?adela.pazderova@med.muni.cz


Masaryk University

Hong Kong

Ref.:?530759
Work type:?Full-time
Department:?School of Nursing (20800)
Categories:?Teaching Staff

Assistant Lecturer (several posts) in the School of Nursing?(Ref.: 530759) (to commence as soon as possible, on a two- to three-year fixed-term basis with contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 10% of basic salary, with the possibility of renewal subject to satisfactory performance)

Applicants should possess a Master’s degree in Nursing or a healthcare-related discipline, and be a holder of the Certificate of Registration (Part I) and valid Practising Certificate issued by the Nursing Council of Hong Kong, with a minimum of 3 years’ post-registration local clinical experience. ?Preference will be given to those with higher academic qualifications and clinical teaching experience. ?They should have strong communication, organizational and problem-solving skills; the ability to work independently and as a team; and the capacity to work under pressure and multitask. ?Those who are qualified as Advanced Practice Nurse (APN) will be offered the title of Advanced Practice Nurse.

The appointees will report to the Chairman of the Teaching and Learning Committee. ?They will be responsible for teaching, conducting tutorials, and providing practical and clinical supervision in Nursing. They may be required to perform duties outside normal office hours. Shortlisted candidates will be invited to an interview.

Those who have responded to the previous advertisement (Ref.: 530070) need not re-apply.

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 posts. ?Applicants should apply online and upload an up-to-date C.V. and at least 2 reference letters with specific comments on their competence.? Review of applications will start on January 2, 2025 and continue until?February 27, 2025, or until the posts are filled, whichever is earlier.


The University of Hong Kong

The Chinese University of Hong Kong

Applications are invited for:-

Department of Educational Psychology

Professor / Associate Professor / Assistant Professor in Educational Psychology 

(Ref: 2400034A)

The Faculty of Education of The Chinese University of Hong Kong (http://www.fed.cuhk.edu.hk/) has a longstanding legacy in teacher training and is known for its world-class research excellence. The Department of Educational Psychology under the Faculty of Education (http://www.fed.cuhk.edu.hk/eps/) now invites applications for the position of Professor/ Associate Professor/ Assistant Professor in Educational Psychology. We are especially interested in those with expertise in one or more areas below:


	School psychology
	Special educational needs
	Educational neuroscience
	Artificial Intelligence (AI) and human-technology interface


Applicants should have (i) excellent academic qualifications including a doctorate degree in educational psychology or related disciplines; (ii) a solid research background in areas that will contribute or add to the existing strengths of the Department; (iii) a strong track record of programmatic research and publications as well as proven ability to obtain research grants; and (iv) strong commitment to excellence in teaching and scholarship.

The appointee will (a) develop and teach courses at postgraduate and undergraduate levels, (b) supervise taught and research postgraduate students, (c) bid for external competitive grants, and (d) assist in administrative matters. Scholars with demonstrated academic leadership, research excellence, a track record of extramural competitive funding and substantial experience in postgraduate students’ supervision are particularly encouraged to apply.

Appointment will normally be made on contract basis for up to three years initially commencing from August 2025, which, subject to mutual agreement, may lead to longer-term appointment or substantiation (that is, tenure) later. For candidate with outstanding research/ scholarship credentials and very good teaching/ service records, substantiation may be considered at initial appointment. Salary will be highly competitive, and commensurate with qualifications and experience.

Review of applications will begin in February 2025 and will continue until the position is filled.

Application Procedure

Applicants should submit an online application and upload a cover letter, a full curriculum vitae, a research statement, a teaching statement, and provide names and e-mail addresses of at least three referees for providing reference.

The University only accepts and considers applications submitted online for the post above. For more information and to apply online, please visit http://career.cuhk.edu.hk.


The Chinese University of Hong Kong

Morocco

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.
?


Mohammed VI Polytechnic University

CRSA - Post-Doctoral Researcher in Hyperspectral Remote Sensing for Soil Fertility Mapping

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:?
We are seeking a highly motivated Post-Doctoral Researcher to join our team at the Centre for Remote Sensing Applications (CRSA). The successful candidate will play a pivotal role in advancing our research project focused on leveraging hyperspectral remote sensing for soil fertility mapping and crop nutrient management in selected African nations. The Post-Doctoral Researcher will be responsible for conducting innovative research and developing advanced data fusion techniques to integrate hyperspectral data from multiple sources, including UAVs, Earth Observation satellites, and proximal spectroradiometers. This position offers a unique opportunity to contribute to cutting-edge research that addresses critical challenges in agricultural sustainability and food security across Africa.

Key Duties:
-?? ?Conduct research to develop advanced data fusion techniques for integrating hyperspectral data for soil fertility mapping.
-?? ?Collaborate with project team members to collect and analyze hyperspectral data using UAVs, Earth Observation satellites, and proximal spectroradiometers.
-?? ?Lead efforts to validate and calibrate hyperspectral data for soil fertility mapping and crop nutrient management assessments.
-?? ?Contribute to the development of spectral libraries and hyperspectral imagery for soil fertility mapping and crop monitoring.
-?? ?Disseminate research findings through publications in peer-reviewed journals and presentations at conferences and workshops.

Qualifications:
-?? ?Ph.D. in Remote Sensing, Geoinformatics, Agronomy, or a related field.
-?? ?Strong background in hyperspectral remote sensing and image analysis for soil fertility mapping.
-?? ?Experience with data fusion techniques and multispectral/hyperspectral data processing.
-?? ?Proficiency in programming languages such as Python or R for data analysis and processing.
-?? ?Excellent communication skills and the ability to work effectively in a multidisciplinary team environment.
-?? ?Physically fit and willing to engage in extensive fieldwork in various African countries as part of the research project.
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Hatyai University