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cows - Working in an interdisciplinary team - Preparation and statistical analysis of the data - Authoring of scientific publications and your dissertation in English - Presentations at scientific
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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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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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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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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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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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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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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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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