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coursework, and supervising student projects. Profile You hold a Master’s degree in Computer Science, Mathematics, Artificial Intelligence, or another relevant discipline, or you expect to obtain such a degree
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foundations of the phenomenon; Identify the fundamental variables and relationships that are most important to the phenomenon of interest, and formalize these mathematically while relating them to data
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Your job Wageningen University & Research is looking for a full professor (0.8-1.0 fte) to lead the Phytopathology chair group. Our chair group conducts interdisciplinary and discovery research on molecular, ecological and evolutionary interactions between plant pathogens and their biotic...
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spoken and written English. Fundamental knowledge of fluid mechanics, viscous fluid flows. Strong mathematical and analytical skills; knowledge of physics and mechanical design is an asset. For projects 1
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requirements: MSc degree in mechanical or aerospace engineering, applied physics or applied mathematics. Background and affinity in fluid mechanics (e.g. MSc thesis on a fluids-related topic). Good track record
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groups in the physical sciences. We are The Department of Astrophysics at Radboud University is part of the Institute of Mathematics, Astrophysics and Particle Physics (IMAPP) and has a strong track record
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Position (Post-doctoral) Researcher Irène Curie Fellowship No Department(s) Mathematics and Computer Science Reference number V32.7519 Job description We seek for two postdoctoral researchers
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are inspired by curiosity, to expand fundamental knowledge and look beyond boundaries. For science, and to contribute to the major societal challenges of tomorrow. Research within the Faculty of Mathematics and
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Phd Position in Multiscale Spatiotemporal Modelling of Microbiome During the First 1000 Days of Life
interpretability using techniques such as complex network analysis and dimensionality reduction (ordination). Intervention analysis: Develop qualitative and quantitative mathematical models to simulate the impact of
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Representation Learning. Causal Explanations. Causality and Large Language Models. Counterfactual learning. Requirements Specific Requirements Master's degree in Computer Science, Mathematics, or a related field