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security standards, while allowing an high-degree of flexibility for end-user scientist to experiment with cutting edge biomedical research - from classical bioinformatics and statistics to large-scale data
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, teamwork and organizational skills Demonstrated experience in the modelling and analysis of omics data Solid understanding of biological/statistical data analysis methods Proficient programming skills (e.g
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analysis, processing, machine learning and statistical interpretation of HEP data at CERN in the ROOT project, taking advantage of hardware accelerators. Join CERN's SFT group in the Experimental Physics
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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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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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economics, health, labor markets) and a desire of getting a glimpse into rigorous, applied research. Prior experience in handling and analyzing data using statistical software packages such as STATA and/or R
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, statistics, physics, or mathematics with strong interest in biology Demonstrated experience in analyzing genomics or other high-throughput biological datasets Experience with analysis of proteomics or spatial
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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
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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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range of expertise, from software engineering and biomedical data management to statistical and bioinformatics services. Embedded in this multi-disciplinary facility, the screening and lab automation