164 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Dr"-"Episteme" positions in Switzerland
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80%-100%, Zurich, fixed-term The Swiss National Supercomputing Centre (CSCS) develops and operates a high-performance computing and data research infrastructure that supports world-class science in
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programs . Application Form & documents to upload You will first have to fill in the online application form . Requested information: your personal details your academic background the doctoral program you
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. ENDOTRAIN will train a new generation of interdisciplinary experts who merge clinical endocrinology, artificial intelligence, data science, engineering, ethics and law into an integrated field of digital
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of electron spectroscopy experiments Modelling of experimental data Your profile The position is immediately available for a candidate with a master's degree (or equivalent) preferably in physics, physical
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stage, nor is it intended to support doctoral dissertations. We also encourage small interdisciplinary teams of up to three people to apply with a joint project. Please find more information here about
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AVA with your UZH login (short name and password). If you do not (yet) have a UZH login, an administrative employee of the host institution can enter the project data in AVA on your behalf and then
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research achievements and research interests Detailed CV Transcripts of all degrees (English) Names and contact information of at least 2 references Representative published research work (Papers or thesis
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to efficiently train on the large, densely-connected and graph-structured data encountered in our systems of interest. Your contributions would be across the spectrum from methodological development
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environments (Schmidt, Science, 2022) — especially in the context of drug–host microbiome interactions — and developing dedicated tools and analytic workflows for the novel data modalities generated by Record
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, and neuromuscular function. It provides state‑of‑the‑art instrumentation for motion capture, force measurement, wearable sensor technologies, and advanced data analysis. The facility enables researchers