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bioinformatics, statistics, and programming The candidate must have a strong motivation and interest in collaboration with multi-disciplinary scientists. They must be able to communicate effectively in a highly
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) Parallel, heterogeneous programming: multithreading concepts and tools (e.g. TBB) GPU programming (e.g. CUDA) Statistical treatment of data distributions Python (software development with Python 3) Optional
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science, statistics, applied mathematics, or related fields Proficiency in developing and deploying machine learning models (e.g., using Python, R) Experience in data wrangling and feature engineering
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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
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or equivalent qualification - Interest in mechanistic and statistical modelling of the soil-plant system - Good knowledge of R or Python - Experience in analysing spatial data with ArcGIS or QGIS is an advantage
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credible transition pathways to Swiss society and politics. Main duties and responsibilities include : Your task will be to develop a statistical methodology which makes best use of high-resolution future
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culture, and flow cytometry preparation of deep sequencing libraries for functional genomics experiments bioinformatics, statistics, and programming The candidate must have a strong motivation and interest
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mathematics Mathematics » Statistics Technology » Biotechnology Researcher Profile First Stage Researcher (R1) Country Switzerland Application Deadline 1 May 2024 - 23:59 (Europe/Zurich) Type of Contract
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40 PhDs in machine learning & AI, statistics, signal processing, computer vision, NLP, etc.
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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