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experience in developing software for scientific applications, data analysis, or real-time systems is desirable. Experience with parallel computing and optimization techniques for handling large datasets
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. Scientific IT Services (SIS - a section with ITS) aims at bridging the gap between computational research and IT services and infrastructure provisioning. We are working closely together with ETH researchers
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plasma. The main methods used are computer simulations for studying dust dynamics and analysing in situ measurements by spacecraft that carry a dust detector on board. We collaborate with researchers in
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are interested in how digital technologies influence coordination, accountability, and justice in efforts to move towards a more sustainable biosphere. Project background This postdoc position contributes to a
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, continuous integration). Adapt software for parallel computing, optimization workflows, and high-performance computing environments. Contribute to software deployment, testing, and benchmarking across multiple
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generation of enhancement algorithms tailored for endoscopic videos, with a focus on applications in real-time interventions. Development efforts will prioritize both enhancement quality and computational
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for global society and future generations. A tailor-made program for your professional development. Participation in and shaping a dynamic research team with supportive colleagues, fostering collaboration and
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, Postdocs, Laboratory Assistants, and technical staff working closely with HR for administrative processes. You may assist with administrative tasks for teaching including help with scheduling, field
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meetings to informally present and discuss their results with other PhD students and postdocs. chevron_right Working, teaching and research at ETH Zurich We value diversity In line with our values , ETH
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CDSS is currently seeking to appoint a Research Software Engineer with experience in scientific computing to strengthen our team of experts to support the ETH research community as