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application form, and attach all your materials in English in one PDF file. The file must include: A letter motivating the application (cover letter) Curriculum vitae Grade transcripts and BSc/MSc diploma (in
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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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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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your materials in English in one PDF file. The file must include: A letter motivating the application (cover letter) Curriculum vitae Grade transcripts and BSc/MSc diploma (in English) including official
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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
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on their own ideas. Prior experience in working with fish in an experimental context is considered an asset, and proven skills in statistical analysis are expected (preferably in R). You must have a two-year
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of lesions Coordinate and validate models with clinical partners and Melatech Conduct rigid statistical testing of your models in a clinical environment Write scientific papers and present research results
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at DTU, and (if you wish) the co-supervision of BSc and MSc student projects related to your research. To be considered for the position, you need some familiarity with cyber-security and computer networks