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Universiteit Amsterdam welcomes applications for a two-year Postdoctoral position in Reinforcement Learning for Stochastic Optimization. The candidate is expected to conduct high-quality research
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nanophotonic sensors that disentangle multiple physical parameters from complex optical spectra. This approach raises fundamental questions on how information about parameters is optimally encoded and retrieved
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/postdoc-molecular-and-cellular-… Requirements Specific Requirements We are looking for a highly motivated, critical, and creative candidate to join our group. The preferred candidate: holds a PhD in
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to extend the operational lifespan and reduce the overall weight of wind turbines. By innovating ways to lower mechanical loads on critical components and optimizing material usage, we aim to pave the way
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the operational lifespan and reduce the overall weight of wind turbines. By innovating ways to lower mechanical loads on critical components and optimizing material usage, we aim to pave the way for a truly
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leader and follower decisions. We are seeking for a motivated and enthusiastic Postdoc (PD) researcher to join the Combinatorial Optimization group (https://www.tue.nl/en/research/research-groups
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methods so that design decisions can be understood, validated, and trusted. As a postdoc, you will: Develop generative AI models (e.g., variational autoencoders, diffusion models, or reinforcement learning
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Vacancies Postdoc position in open-source respiratory signal analysis (M3RESP) Key takeaways You will work on the development of M3Resp, a new open-source FAIR platform for multimodal monitoring
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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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encompasses model compression and optimization for edge deployment on UAV-mounted processors to support real-time inference. The candidate will collaborate with industrial partners for real-world data