312 programming "https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" positions in Switzerland
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, including initiatives such as CUSO doctoral programme in English Studies. Institutional engagement The successful candidate will collaborate with other sections, programmes, and research centres within
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is responsible for the design, implementation, operation and continuous improvement of the technical infrastructure supporting the Genome of Switzerland programme. The position ensures the efficient
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research areas through your research, publications, and the acquisition of third-party funding. You will offer eight semester hours of teaching per week on the bachelor and master programs. Through lectures
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to someone who enjoys taking ownership of their work and contributing actively to the progress of a research project. Main duties and responsibilities Plan and execute daily experimental work in coordination
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This position is funded through the University of Basel's Stay on Track program, which aims to support female postdoctoral researchers returning to work after maternity leave. Starting on: 01/09
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. • Excellent Python programming skills and strong hands-on experience implementing, training, and evaluating deep-learning models and research codebases. A strong track record in machine learning or closely
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the lifespan, including healthy aging. The successful candidate will develop an innovative and mechanistic research program in nutrition biology with translational relevance, leveraging ETH Zurich’s
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Program surveys in Qualtrics create documentation such as questionnaires, codebooks and technical reports support the teams with data analysis and reporting to third party stakeholders such as SBB or AMAG
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Your position You will be responsible for the establishment, strategic leadership, and ongoing development of an independent, internationally visible research program of high clinical and scientific
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The NOMIS Foundation–ETH Fellowship Programme supports postdoctoral researchers at ETH Zurich within the Centre for Origin and Prevalence of Life (COPL). The programme is intended to foster