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expertise, from software engineering and biomedical data management to statistical and bioinformatics analysis, as well as lab automation and advanced screening technologies. Embedded in this multi
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, computer science, or related fields. This includes, but is not limited to, psychology, mathematics, engineering, physics, or statistics. Geographical Eligibility: We are seeking candidates who are currently
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learning models application Good background in statistics Good knowledge of English Additional Information Benefits We offer Our institution is based on an interdisciplinary, innovative and dynamic
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Doctoral Research Associate / EU MSCA Fellow 100 % at Institute of Sport Science, University of Bern
of recruitment (1 September 2024). Candidates are not allowed to hold a doctoral degree. Advanced knowledge in human movement science. Good knowledge of statistical methods. Good command of written and spoken
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develop pre- and post-graduate teaching activities on computational biology, genomics and immuno-informatics. A candidate capable of advancing statistical and computational modeling of genomics data, multi
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of econometrics and first experience with statistical programs such as STATA, R, or Python and a high willingness to attain excellent econometrics skills including on machine learning You are fluent in
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literature reviews, data visualization, and statistical analysis. Prepare research findings for publication in leading academic journals. Your position The successful candidate will support the project
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WSL Institute for Snow and Avalanche Research | Davos Dorf, Kanton Graub nden | Switzerland | 3 months ago
global change. The group has strong expertise in water resources, extreme value analyses, statistical modelling, and climate impact assessments and is looking, from summer 2024, for a PhD student in
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their thesis work are eligible to apply) • Strong expertise in mammalian cell culture, in vitro disease models, Immunohistochemistry and molecular biology. • Proven experience in statistical analysis
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. TBB) GPU programming (e.g. CUDA) Statistical treatment of data distributions Python (software development with Python 3) Optional, but considered a plus: ROOT HEP experiments, their data lifecycle and