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techniques. Supervise MSc and BSc students Writing and presenting research at/in internationally renowned conferences/journals You will work here The research is embedded within the Laboratory of Entomology
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. Additionally you will contribute to the education of BSc and MSc students from different knowledge institutions working with you on the project. You also possess: A successfully completed MSc degree in plant
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thesis on a topic relevant to this project. Proven experience in molecular dynamics simulations of proteins or protein-ligand complexes is an advantage.You possess:- A successfully completed MSc degree in
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of the candidate, as well as supervision of BSc and MSc research projects that contribute to the goals of this PhD project. We offer a stimulating and interactive research environment, free use of all state
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to establish a rigorous framework for assessing AI decision-making. It will benchmark generative AI models, comparing their decision-theoretic performance much like existing evaluations of their mathematical
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curiosity to expand fundamental knowledge and to look beyond the borders of their own discipline. The research carried out at the Faculty of Science is diverse, ranging from mathematics, artificial
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candidate with: - with an MSc degree in epidemiology, health sciences, public health, (health) economics, econometrics, mathematics, quantitative sociology, (developmental) psychology or a related field
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, computer science or mathematics, and have a keen interest in energy applications. Candidates with a background in electrical engineering (especially from a smart power grids background), technology, policy and
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, by performing dedicated GCM simulations. Your qualities We are looking for inspiring and driven candidates who have: a MSc in physics, applied mathematics, meteorology, geosciences or a related field