28 bayesian-inference-tracking Postdoctoral positions in computer-science in Netherlands
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- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- University of Twente (UT)
- Erasmus University Rotterdam
- Leiden University
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- University of Amsterdam (UvA)
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groups. The theoretical methods include stochastic modelling, MD simulation, and Bayesian inference; the position will also include joint collaborative projects with other group members and our
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theoretically, in tight collaboration with experimental groups. The theoretical methods include stochastic modelling, MD simulation, and Bayesian inference; the position will also include joint collaborative
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. Experience with uncertainty quantification, Bayesian inference, inverse modelling, parameter estimation, or model calibration. Experience with high-performance computing, surrogate modelling, reduced-order
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computation, or phylogenetic inference, as applicable to microbiomes and human-microbiome interactions, such as outbreak-related strain reconstruction, or phasing and assembly of complex immune-system loci
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large language models (LLMs), natural language processing (NLP), and/or machine learning, with a verifiable track record (e.g., publications, thesis, or open-source contributions). Proficiency in Python
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an advantage: Rodent social behaviour, empathy-related behaviour, aggression, fear, or reinforcement learning tasks. Computational modelling, Bayesian statistics, reinforcement learning models, or model-based
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Can technology learn to listen to how athletes feel, and not just to what the sensors measured? In the ASPIRE project, we develop knowledge for the new generation of sports tracking technology that
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philosophy, with strength in metaethics, moral epistemology, ethics, or philosophy of emotion — or a closely related area. A track record, appropriate to career stage, of high-quality research and writing in
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for the analysis and integration of –omics data. The group has a strong track record in (integrative) computational omics analysis, algorithm development, machine learning and scientific data infrastructure
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multiple research tracks. You will work closely with three PhD candidates focusing on different clinical applications, while leading developments in acquisition, probe localisation, adaptive imaging, and