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Field
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of Agriculture and Environmental Sciences at Mohammed VI Polytechnic University (UM6P). It constitutes a structure of practical-based research with a vision of solving real African agriculture challenges by
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About the Opportunity We are seeking a postdoctoral associate to support research focused on the development of advanced electronic structure theory to study fundamental chemistry in heterogeneous
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in a stimulating scientific environment: Department for Structural and Computational Biology at the Max Perutz Labs, a research institute established by the University of Vienna and the Medical
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on the influence of Alzheimer’s disease and aging on changes in cognitive functions in humans. The project combines cutting-edge technologies from genetics, proteomics and statistical modeling to understand
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advance the use of mathematical and statistical models of infectious disease transmission as tools for anticipating and addressing socioeconomic and geographic inequalities in infectious disease morbidity
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collaboration between multiple research groups and involves a diverse range of activities including: structural and geotechnical modeling, machine-learning model development, structural sensing and health
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, degradation mechanisms, and electrochemical performance, utilizing a variety of synthesis techniques and advanced structural and electrochemical characterization methods. The appointee will work closely with
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Luxembourg Institute of Science and Technology is at the forefront of advancing structural composite materials and their applications. As part of our ongoing efforts in this field, we are excited to announce
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. The university places research and innovation at the service of the African continent and is committed to providing relevant skills training to advance Morocco and Africa's innovation ecosystem. UM6P's unique
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Postdoc (f/m/d): Machine Learning for Materials Modeling / Completed university studies (PhD) in ...
Area of research: Scientific / postdoctoral posts Starting date: 01.07.2025 Job description: Postdoc (f/m/d): Machine Learning for Materials Modeling With cutting-edge research in the fields