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magnetic multilayers and nanostructures can be measured, understood, and engineered for spintronic and related applications at the nanoscale. Your profile Essential PhD in physics, nanoscience, or a related
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to high-impact publications. About you You hold a PhD in Biomedical Sciences or related fields. You have a strong interest in epithelial biology, stem cells, and disease modelling. You have experience with
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projects in the field of analytics and maintain an extensive network with universities, research institutes, industry partners, and federal authorities – both nationally and internationally. The training
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motivated team player who thrives in a collaborative and interdisciplinary research environment. The ideal candidate possesses a PhD degree in chemistry or chemical engineering, materials science, physics
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laboratory at Empa. The group focuses on developing novel reactor and process concepts along the value chain of carbon capture and utilization, and on integrating them into a net-zero energy system. The work
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who thrives in a collaborative and interdisciplinary research environment. The ideal candidate possesses a PhD degree in chemistry or chemical engineering, materials science, physics, or related
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. Required PhD in Computer Science / AI / Machine Learning Strong publication record in AI, ML systems, or related areas Strong programming skills in Python, C/C++ and experience with PyTorch, TensorFlow, JAX
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You will have access to teaching assistants, research and travel funding, an international network of collaborators, and the wide variety of ETH career development resources The working language is
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pipelines to support the labs long-term research interests Proactively manage the labs genomic data resources Supervise and mentor PhD and Masters students in comparative fungal genomics Assist in
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methods, which could include but are not limited to: Kriging surrogate, Polynomial Chaos Expansion (PCE), and Physics-Informed Neural Networks (PINNs) Contribute to the strategic direction of research