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remains poorly understood how such systems learn and what signatures learning leaves in their physical structure and energy landscape. This project aims to build the theoretical foundations of physical
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scientific data, model architectures, and training dynamics influence scientific predictions. You will join a vibrant research environment at TU/e at the intersection of AI, scientific computing, and
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bring Candidates are expected to have: A recent (or soon to be completed) PhD in Political Science or Conflict Studies, with a strong focus on conflict dynamics in the Sahel (PhD must have been completed
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from your MSc/PhD degrees. Contact details for three referees. A copy of your PhD thesis will be appreciated. You can … Where to apply Website https://www.academictransfer.com/en/jobs/358102/postdoc
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studying folding dynamics of complex proteins in isolation or within a condensate environment. For more information, see: https://www.mashaghilab.org and https://www.universiteitleiden.nl/en/science/drug
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on inclusion and exclusion of ethnoracial minorities. This includes a wide range of topics, such as group identities, intergroup attitudes, nationalism and right-wing radicalism, discrimination, structural
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structural barriers behind gender inequality in the creative industries and translate these insights into public storytelling. Decode the Data Behind the Gender Gap in Art You will be based in the Department
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cutting-edge analytical approaches (Multilevel Vector Autoregressive Models, Dynamic Structural Equation Modelling, Hidden Markov Models, Causal discovery algorithms, Reinforcement Learning), Contributing
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research exists on the causes and consequences of negative campaigning, the perceptual dynamics remain largely under-investigated. How is negative campaigning perceived by those who are exposed to it? How
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calcium, zinc, iron, and magnesium within nano-sized core–shell assemblies. You will work in a dynamic, interdisciplinary project combining experimental and computational expertise, and in close