227 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"UCL" positions at ETH Zurich in Switzerland
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degree in biomedical engineering, mechanical engineering or related relevant field A demonstrated and substantial experience with computational simulation methods, i.e. finite element analysis English
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results effectively within the lab and to broader scientific audience Profile Education & Experience: Master’s degree required; PhD preferred in Computational Biology, Bioinformatics, Data Science, Computer Science
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blotting or RT-qPCR. You will diligently document your lab work including maintaining and updating internal databases. Moreover, you will be responsible to independently organise and coordinate repairs and
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80%-100%, Zurich, fixed-term The Department of Management, Technology, and Economics (D-MTEC) at ETH Zurich is looking for an Recruitment & Admissions Manager (80% - 100%) for a 1-year contract
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The ETH Zurich technology platform NEXUS Personalized Health enables discovery and translational research for personalized health. We offer a broad range of expertise across Clinical Bioinformatics
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statistical genomics, computational biology, computational genomics, or animal genomics. Experience with a programming language (e.g., python, R) and basic working knowledge with high-performance computing
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to work at the interface of quantum optics, quantum information science and quantum many-body physics. Led by Prof. Wenchao Xu , the EQE group develops programmable quantum systems based on neutral atoms
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activities and operations of the international consortium. The PhD project will provide hands-on experience with astronomical instrumentation and state-of-the-art data analysis in a world-leading research
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: Must hold a master’s degree in computer science, data science, or a closely related field Have strong analytical and problem-solving skills Are able to work independently and take ownership of technical
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100%, Zurich, fixed-term This postdoctoral position is part of the project “PhenoMix: Multidimensional field phenotyping of crop mixtures ”, supported by the Swiss National Science Foundation