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) at ETH Zürich within the Centre for Digital Health Interventions . You will lead the Revelio initiative and co-supervise two PhD students in close collaboration with Prof. Elgar Fleisch (ETH Zürich) and
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of SIS (e.g., HPC systems engineers, data scientists, research software developers) and external collaborators. Profile a PhD or equivalent in Computational or Computer Science, Engineering, Physics, or a
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applications. Experience with research in these assays is highly desirable. Profile PhD degree in bioinformatics or a related field Proficient in NGS data analysis with excellent scripting skills In-depth
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(PhD, MSc, BSc) and oversee student theses. Develop operational data processing workflows for hyperspectral data and contribute to the design of a software framework for processing multispectral and
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collaborate with consortium partners from various scientific disciplines, supervise Bachelor’s, Master’s, and PhD students, contribute to scientific publications, and present your research findings
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(at least some of the following) A Masters or PhD Experience developing in an academic environment Kubernetes Typescript Scala SQL Workplace Workplace We offer We offer a stimulating, multicultural working
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100%, Zurich, fixed-term The Atmospheric Physics group at the Institute for Atmospheric and Climate Science (IAC), ETH Zurich invites applications for a PhD position (3 to 4 years) focused
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100%, Zurich, fixed-term The Atmospheric Physics group at the Institute for Atmospheric and Climate Science (IAC), ETH Zurich invites applications for a PhD position (3 to 4 years) investigating
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, the use of SAR for identifying and characterizing crevasses has seen limited research, necessitating the development of new methods. The approach will involve utilizing high-resolution data (e.g., airborne
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spectroscopy, or theoretical materials science approaches. These methods should be applied to the study of molecules and solid-state materials relevant to photonics, (opto)electronics, energy conversion and