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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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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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. 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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structures, targeting improved optical confinement, passivation, and loss control in nanoscale photonic devices. In this project, you will be embedded in the PhotonDelta NGF program. Agentic AI for ALD
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morphological constructicon or “Morphicon” with Dutch as the target language. The resource will be developed by a team of three researchers—the PI, the Postdoc and a PhD—in collaboration with the Instituut voor
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scale up the electrochemical carboxylation of furan derivatives, targeting products including 2-furyl(hydroxy)acetic acid and 2,5-furandicarboxylic acid (FDCA). The research will initially focus
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which wind-farm-induced changes in the atmospheric flow and boundary-layer structure can affect precipitation. Targeted simulations with and without wind-farm effects will be used to quantify
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outlining your qualifications and motivation (max.1 side, A4 format, font size no smaller than 9 points). Proof of writing that is specifically targeted towards practice (e.g. a blog post, Dutch magazine
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the perspectives of the immune system and diseased cells. Those learnings will make it possible to improve clinical products, provide new strategies for finding targetable HLA-bound antigens and to decipher what/how