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cells Key methods will include: Gaussian Processes (heteroscedastic & multivariate) Operator-valued and deep kernels Active Bayesian experimental design Physics-informed neural networks Closed-loop
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flow reconstruction, enabling both real-time coarse diagnostics and high-fidelity offline velocity field estimation. Developing reinforcement learning (RL) algorithms for a multi-agent robotics system
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Your position New computational and analytical tools in population genetics allow to estimate both contemporary and past effective population sizes. With these in hands, the project aims to verify
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analysis procedures and computer tools for automated data acquisition/processing (Python/C++/Labview programming languages), Team player with excellent communication skills and collaborative working style
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educational track record in condensed matter physics and optics, Familiarity with data analysis procedures and computer tools for automated data acquisition/processing (Python/C++/Labview programming languages
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13 Dec 2025 Job Information Organisation/Company ETH Zürich Research Field Computer science » Other Engineering » Biomedical engineering Engineering » Computer engineering Engineering » Electrical
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guidance and robotics. Our work combines medical imaging, computer vision, and machine learning with strong clinical translation, in close collaboration with Balgrist University Hospital and the national
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to estimate both contemporary and past effective population sizes. With these in hands, the project aims to verify how well reported dynamics of decline in rare plant species align with inferred trajectories
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computational modelling with experimental validation. The project involves developing time- and position-dependent models of electrochemical double layers, and parameter estimation methods incorporating
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part of this program, IOB offers PhD and MD-PhD fellowships to outstanding candidates from diverse fields such as Biology, Medicine, Physics, Computer Sciences and Engineering who wish to pursue