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environments, enjoy operating at the interface of technology and robotic applications and can leverage expertise across different domains, including sensors, mechanical systems, and semiconductor technologies
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constraints. The postdoc will work at the interface of reinforcement learning and computational epidemiology, focusing on the development of new reinforcement learning algorithms. The project will consider
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cleaning, filtering, etc.).•Expertise in data fusion and relevant algorithms (deep learning, generative AI, kernel methods, Bayesian methods). •Preferably, experience with high-content imaging or cell
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, photonic (bio)sensors and photonic integrated circuits for biomedical applications in the near-infrared and mid-infrared wavelength range. More in particular, the silicon(-nitride) nanophotonics work focuses
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) nanophotonics, heterogeneous integration, optical communication, quantum optics, photonic (bio)sensors and photonic integrated circuits for biomedical applications in the near-infrared and mid-infrared wavelength