11 programming-"DIFFER"-"Washington-University-in-St"-"U"-"UCL" positions at ETH Zurich in Switzerland
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100%, Zurich, fixed-term Are you a highly motivated and enthusiastic researcher looking to make a difference in the field of AI applied in Healthcare? Join us at the Spinal Cord Injury Artificial
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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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intelligence and statistical modeling, we aim to generate profound insights. Unlike a traditional PhD in Computer Science or Mathematics, our research is highly applied, focusing on tailoring mobile technology
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behavioral change in the field of transportation by conducting empirical research and combining different research disciplines. Our mobility and transport research aims to further conceptual and theoretical
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100%, Zurich, fixed-term The Chair of Sustainable Construction at ETH Zurich invites applications for a 4-year PhD position within the SNF-funded National Research Programme NRP81 project
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of Aquatic Science and Technology, an interdisciplinary team of researchers studying biogeochemical cycles of trace elements across different environmental compartments. Our mission is to understand and
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, systems engineers, etc.) including the allocation process of these resources on different space-related projects at ETH (Project Hub) and idea exploration and development, rapid prototyping and validation
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metrics and usage statistics, identify inefficiencies on different levels (CPU/GPU, I/O patterns, etc.) and provide corresponding reports. You will work closely with researchers and HPC users and provide
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computational science, computational biology, applied mathematics, physics, or a related field Strong, documented experience in C++ programming and solid software engineering skills — applicants should clearly
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biology, or applied mathematics Documented experience in C++ programming and solid software engineering fundamentals Familiarity with numerical methods for solving PDEs (e.g., finite difference, finite