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the admission requirements for a PhD at ETH Zurich Experience in machine learning, optimization, or AI-driven decision-making Preferably with knowledge of Bayesian optimization or Gaussian processes
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plasma. The main methods used are computer simulations for studying dust dynamics and analysing in situ measurements by spacecraft that carry a dust detector on board. We collaborate with researchers in
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100%, Basel, fixed-term The Bio Engineering Laboratory at the Departement of Biosystems of ETH Zurich in Basel is inviting applications for a PhD position in in Engineering of Microfluidic in-vitro
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science journey, from the collection and management of data to machine learning, AI, and industrialization. The Center comprises a multi-disciplinary team of data and computer scientists and experts in
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The successful candidate should be highly motivated and creative, should have a PhD in physics, quantum engineering, electrical engineering, photonics or related fields. Alternatively, a Master’s degree
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provide academic advising to BSc, MSc, and PhD students. Engage actively in experiments conducted at large-scale research facilities and collaborate with external research institutions, aligned with
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engaged with scientific developments and peer communities. Profile A PhD in geosciences, natural or engineering sciences, data science, or a discipline pertinent to Earth observation. At least 8 years of
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. You will perform microstructural characterization of dry coated electrodes using physical and machine learning based methods and the electrochemical assessment of the electrodes in battery cells. Your
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100%, Zurich, fixed-term The Optical Nanomaterial Group in the Physics Department at ETH Zurich is looking for a PhD student in quantum metamaterials. Optical metamaterials are a rapidly maturing
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processes. Job description We are seeking a highly motivated PhD student to further develop this framework by: Implementing numerical solvers for reaction-diffusion systems Extending the biophysical