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teaching experience Skills within statistical analysis Communication skills both in oral and written English Flexibility and self-motivation are desired skills at DTU We expect you to be a team player and
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brilliant minds in our journey. See our publications and projects here . DTU Compute is an internationally unique academic environment spanning the science disciplines mathematics, statistics
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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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a unique and internationally recognized academic department with around 440 employees and 10 research sections spanning the science disciplines mathematics, statistics, computer science, and
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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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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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academic department with 385 employees and 11 research sections spanning the science disciplines mathematics, statistics, computer science, and engineering. We conduct research, teaching and innovation
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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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the behaviour of fishes, particularly in the wild. Analytical skills and experience with statistical software (e.g. R, MatLab, Python) are expected as is experience in planning and executing fieldwork. Experience