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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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statistical methods; Code implementation and validation for these models in a modelling setting for alternative design and policy analysis. Collaborate with researchers from machine learning and transportation
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/or immunology. Analytical skills and some experience in statistical and bioinformatical analysis. Strong written and oral communication skills in English. Ability to work in a team and to assist
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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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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
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collection. Simulate a multi-scale, multi-sector framework with features generated during the fundamental scientific experiments. Utilizing advanced statistical and computational methods to analyze and
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background are encouraged to apply. DTU Compute DTU Compute is a unique and internationally recognized academic environment spanning the science disciplines mathematics, statistics, computer science, and