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- Delft University of Technology (TU Delft); Published yesterday
- Eindhoven University of Technology (TU/e); Published today
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Field
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-symmetry-handling-in… Requirements Specific Requirements Motivated researcher, with a PhD in integer programming, bilevel programming, mathematical optimization, or a comparable domain. Very good programming
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on the results of the Erasmus+ project EDDIE. When it comes to the research part: This PostDoc project explores how artificial intelligence (AI) can be leveraged to optimize energy portfolios for local energy
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that strengthens collaboration, reduces time-to-job, and drives innovation for a climate-neutral society. In this position, you will design and optimize learning communities that integrate learning
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. Based on these insights, you will formulate design rules to predict optimal loading conditions and release mechanisms, supporting experimental optimization. We expect you to be able to work with a high
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into model-predictive control (MPC) or reinforcement learning (RL) frameworks to compute optimal exoskeleton assistance in real time. Validating the developed methods in human experiments using motion capture
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of life and also increasing informal caregivers’ mental and physical burden. In the context of the larger project DREAm, this postdoc position will look at indoor environmental aspects and try to optimize
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of the urban soil/subsoil in Amsterdam required for optimal tree growth. Ecosystem services include: storing water in the unsaturated zone; draining water via groundwater; sequestering carbon; filtering and
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skills for functional genomic screen design and analysis. You will build CRISPR tools, design optimized pooled genetic screens (e.g. Perturb-seq–based approaches), and troubleshoot the experimental
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. Background: You hold a PhD in Computer Science, Machine Learning, Electrical Engineering, Embedded Systems or related fields. Core Expertise: Strong expertise in Federated Learning and/or Continual Learning
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national and international researchers in the relevant field; Supervising research assistants and, where applicable, PhD candidates; Participating in meetings of the project research group and departmental