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science(e.g., mathematics, physics, computer science, etc.), a strong background in data science, statistics, or machine learning, and an interest in biomedicine. Alternatively, a candidate with a
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trials Accuracy and patience for laboratory work Experience with UPLC and Western Blotting Analytical skills and experience in statistical analysis Strong written and oral communication skills in English
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experience in statistical and bioinformatical analysis. Strong written and oral communication skills in English. Ability to work in a team and to assist colleagues, as well as being able to work independently
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) for ongoing lab projects. The candidate should have a two-year master’s degree in Bioinformatics, Computational Biology, Biostatistics or in a related quantitative field (e.g. Mathematics, Physics, Statistics
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on generative AI have been suggested. The data science team under this project will develop privacy metrics based on Bayesian statistics. The overarching purpose of the legal part of the project is to develop
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recognized academic department with 385 employees and 11 research sections spanning the science disciplines mathematics, statistics, computer science, and engineering. We conduct research, teaching and
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theoretical aspects of machine learning. Therefore, a sufficient background in mathematics (e.g., linear algebra, statistics, optimization, calculus) is expected, along with programming experience using deep
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employees and 11 research sections spanning the science disciplines mathematics, statistics, computer science, and engineering. We conduct research, teaching and innovation of high international standard
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techniques, and citizen science is considered an advantage. Is proficient in data analysis and statistical methods in R. Has excellent communication skills and is proficiency in English and preferably one
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desire to learn Good programming skills (MATLAB and/or Python) Ability to work effectively with data and applied statistics Knowledge of electric power systems and electric vehicle integration Ability