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in our CRM system. Supervise statistics collection and support our data tracking. Track and keep updated public information on our programs in relevant channels. Handle evaluations of our programmes
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recognized academic department with around 440 employees and 10 research sections spanning the science disciplines mathematics, statistics, computer science, and engineering. We conduct research, teaching and
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DTU Compute is a unique and internationally recognized academic department with approx. 400 employees and 11 research sections spanning the science disciplines mathematics, statistics, computer science
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biology, statistics, mathematics, computer science or related topics Advanced knowledge of Python and its scientific libraries and data stack (numpy, pandas, scipy, scikit-learn, pytorch, etc.) Proficiency
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unique academic environment spanning the science disciplines mathematics, statistics, computer science, and engineering. We conduct research of high international standard that is at the forefront with
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). DynSys conducts research and provides teaching in the fields of mathematics, statistics, deterministic and stochastic modeling, optimization, forecasting and control. The section is very successful in
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of bioparts designs for low and high throughput implementation. Statistical analysis of internal and public datasets (e.g. genomics, transcriptomics, proteomics, metabolomics). Processing, visualization of NGS
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data sciences tasks like exploratory and statistical data analysis, training AI/ML models, or creating visualizations or dashboards using common industry frameworks and libraries. Programming in C, C
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are encouraged to apply. DTU Compute DTU Compute is a unique and internationally recognized academic department with 385 employees and 11 research sections spanning the science disciplines mathematics, statistics