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staff to deploy our simulation or algorithm pipelines on advanced computational infrastructure, such as High-Performance Computing systems. As many of the lab members actively contribute together
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integral partof your work, you will publish your results in peer-reviewed journals and present them at international conferences. Profile You meet the requirements for a doctoral program at ETH Zurich and
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to run a world-class research and teaching program that emphasizes industrial translation of Artificial Intelligence methods within a Design and Manufacturing context. This position is envisaged to be part
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of interdisciplinary research, teaching, and innovation projects Drive the growth of the membership program, talent pipeline, and spin-off initiatives Manage internal teams and ensure the effective functioning
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Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Doctoral Student
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100%, Zurich, fixed-term The Center for Security Studies (CSS) at ETH Zurich is a center of competence for Swiss and international security policy. It offers expertise in research, teaching, and policy consultancy, and plays an active role in educating the next generation of security policy...
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: program surveys in Qualtrics; create documentation such as questionnaires, codebooks and technical reports; support the teams with data analysis and reporting to third party stakeholders such as SBB or AMAG
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modeling and teaching duties. Position details: Start date: February 1st, 2026, or by agreement Fully funded PhD position (approximately 4 years). Final admission to the doctoral programme follows a
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, omics approaches, computational biology, and neuro/developmental biology with evolutionary and environmental biology. In addition, we closely collaborate with the biomedical disciplines within the Section
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scientific track record. The Department of Biology has a strong interdisciplinary focus, bridging biochemistry, omics approaches, computational biology, and neuro/developmental biology with evolutionary and