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Zurich and is supervised by Prof. Livia Schubiger. The candidate will work with the IRDS group on projects that leverage NLP, causal inference, and machine learning to explore norms related to gender-based
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society. We are actively committed to a sustainable and climate-neutral university . You can expect numerous benefits , such as public transport season tickets and car sharing, a wide range of sports
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image processing techniques and modern machine learning approaches to extract meaningful quantitative information from complex biological images. The successful candidate will contribute to projects
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treatment of the xenon and argon liquid phase using electronic structure calculations. Developing computer code for computing ionization rates with general dark matter-electron interactions. Exploring
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season tickets and car sharing, a wide range of sports offered by the ASVZ , childcare and attractive pension benefits . chevron_right Working, teaching and research at ETH Zurich We value diversity In
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change in society. We are actively committed to a sustainable and climate-neutral university . You can expect numerous benefits , such as public transport season tickets and car sharing, a wide range of
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magnetic moments of circularly polarized / chiral phonons in quantum paraelectric materials. Job description The postdoctoral researcher will develop machine-learned force fields trained on density
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to support computational design synthesis and generative engineering design across different representations. A variety of potential application areas will be investigated including consumer products, machine
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products, machine design and structures. Profile We are looking for excellent applicants with a Doctoral degree in Mechanical Engineering, Computer Science, Applied Mathematics, or a related area of study
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committed to a sustainable and climate-neutral university . You can expect numerous benefits , such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ , childcare