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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models
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Mathematics, or a closely related quantitative field. You love physics and complex systems and are either familiar with, or very eager to learn about, (road) network traffic flow theory and simulation. You are
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to the development and the analysis of modern machine learning methods, with a focus on probabilistic modelling that enables, for example, to account for uncertainties when training neural networks, to capture complex
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concentration/functional inequalities Markov processes and stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical
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Technology Institute Groningen (ENTEG). The project aims to address timely challenges in the analysis, design, and operation of complex socio-technical systems, such as energy and transportation networks. What
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the spliceosome, one of the most complex cellular machineries, is dynamically regulated in Caenorhabditis elegans germ stem cells (GSCs) and how changes in its composition influence cell fate decisions. The project
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://www.academictransfer.com/en/jobs/362631/postdoc-in-computational-and-mu… Requirements Specific Requirements We are looking for an ambitious and highly motivated candidate who has: A PhD degree in Biomedical Engineering
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analysis of flows over complex geometries, with particular emphasis on accurate boundary layer resolution, multi-scale features, and high-speed regimes relevant to real-world applications. The role will
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bachelor throughout master. High intrinsic motivation and strong scientific curiosity. Motivation to work with critically ill patients and complex clinical monitoring data. Willingness to participate in
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of varying complexity and urgency. Strong analytical skills, including the ability to navigate financial transactions and reconciliation of financial activity. Proficiency in PC systems (Excel, Word, E-mail