172 computer-science-programming-languages-"St"-"University-of-St"-"St" positions at ETH Zurich
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We are supported by the Wyss Zurich Translational Center (Wyss Zürich), a unique accelerator program, which is embedded into ETH Zürich and University of Zürich and addresses the booming fields
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) Languages: English (Knowledge of Spanish is a plus) Very good knowledge of data science and data processing with Python Passion for open-science Curious, motivated, and autonomous Optional: Knowledge of agent
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the submission deadline, candidates must hold or plan to complete their doctorate (PhD) within four months of the submission deadline. The doctorate may be in architecture, civil engineering, computer science
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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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written and oral. Experience with computational tools commonly used in scientific research (e.g., MATLAB, Python, or similar). Above all, a genuine enthusiasm for science and discovery, particularly in
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written and oral. Experience with computational tools commonly used in scientific research (e.g., MATLAB, Python, or similar). Above all, a genuine enthusiasm for science and discovery, particularly in
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establishment of an experimental sub-group. The Atmospheric Chemistry group is composed of researchers from around the world and offers a friendly and supportive environment, with English as our working language
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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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characterization in the context of mammalian cell line experiments Protein design and engineering Protein biochemistry and structural biology Cellular proteostasis Bioinformatics, statistics, and programming
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, electrical engineering and computer science to design highly efficient and sensitive imaging and inference approaches to help guide diagnosis and treatment in cardiovascular patients. Project background Our