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events. New warning thresholds based on extreme value statistics are expected to improve warnings for the population, as well as for cantonal and national authorities, in the case of severe weather events
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communication, teamwork and organizational skills Demonstrated experience in the modelling and analysis of omics data Solid understanding of biological/statistical data analysis methods Proficient programming
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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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, 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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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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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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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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. 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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team in the analysis of newly collected survey data. You will compile summary statistics, create informative graphs and help interpret the obtained results. You will gain an insight