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and guide them throughout the project life cycle. Develop or implement proteomics methods relevant to the strategic goals of the unit. Teach students and users on topics related to different proteomics
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meetings. Contribute to the supervision of graduate students and support lab management. Profile PhD in Materials Science, Food Science, Physics, Chemical Engineering, or a related field. Strong background
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benefits , such as public transport 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
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an enthusiastic PhD candidate to study the short-term adaptation of beech regeneration to climate change. The PhD candidate will be based in the Silviculture Group at ETH (Dr. Mathieu Lévesque) and work in close
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to machine learning, AI, and industrialization. With a large multidisciplinary team of professionals across three locations (Lausanne, Zurich, Villigen), the SDSC provides expertise and services to various
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, computer engineering and/or computer science towards producing relevant and impactful health-monitoring mobile/wearable solutions, then please apply. The research will be highly collaborative; you should be
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research agenda to develop safe and effective measures to curb harmful online content and strengthen public discourse. As part of our efforts, we are using state-of-the-art machine learning techniques and
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background Are you ready to dive into Materials Science? We are looking for a PhD candidate at the Laboratory of Metal Physics and Technology (LMPT) to investigate the atomic-scale processes underlying phase
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Publication list Contact details of two refereesPlease send your application to [nicola.serra+sinergia@uzh.ch]. Further information about [Department of Mathematical Modeling and Machine Learning or Department
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The Plant Ecology Group at ETH Zürich, led by Professor Janneke Hille Ris Lambers, is seeking an enthusiastic PhD candidate to study how seed and seedling pathogens influence forest regeneration