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in combination with other machine learning techniques, to create predictive models. You will engage in an interactive feedback loop with domain experts to analyze discovered models and remove any
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Wageningen University. The scientist will be involved in an interdisciplinary, innovative synthetic biology project in a productive scientific environment. Selection Criteria A PhD degree in biochemistry
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Organisation Job description A postdoc position in computational social choice for AI Safety is available at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence
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Employment 0.8 - 1.0 FTE Gross monthly salary € 3,378 - € 5,331 Required background PhD Organizational unit Faculty of Science Application deadline 31 August 2025 Apply now Are you eager
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. Qualifications PhD in Computer Science, Economics, Mathematics, or a closely related dis-cipline. Strong background in computational social choice, algorithmic game theory, or AI safety. Excellent research track
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particular for this position, the following is required: PhD in engineering or physics, preferably with a focus on the development of thermal fluid-structure interaction mathematical models. A thesis topic
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/GNC systems has traditionally relied on model-based techniques, which in turn, have their foundations in a solid body of mathematical proofs (such as guarantees of stability and robustness
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to build predictive models Collaborate closely with experimentalists and modelling experts Project Environment This position is part of a collaborative research project involving: Two PhD students at TU
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, computer science, mathematics and engineering sciences in general. DTPA’s research focuses on developing quantitative and analytical theories, alongside advanced methodologies rooted in mathematical modeling
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years), or be close to completing a PhD in engineering or physics, preferably with a focus on the development of fluid-thermal-structure interaction mathematical models. A thesis topic relevant to