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to perform forefront, international research. You will be responsible for literature search, research protocol development, statistical analysis, writing of scientific papers, and presentation of your work
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experience with statistical tools (e.g. in R, MatLab, or Python) are expected. The team at DTU Aqua is highly international and knowing the Danish language is not needed. You must be available for boat-based
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are looking for a person with a relevant degree (e.g. health economics, economics, statistics, data science, public health science). Are you passionate about contributing to a groundbreaking interdisciplinary
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of image recognition tools, statistical analyses and the mechanistic description of carbon substrate conversion and growth on solid material. The tasks also include process-related life cycle analyses
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statistics. This position will be placed under Research Thrust 2 which mainly involves mathematical physics. Requirements: The applicants must have documented strong qualifications in functional and spectral
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experience in the following fields. Cyber-physical modelling and simulation Digital Twins Autonomous Agents and Multi-Agent Systems Machine Learning and MLOps Probability & Statistics incl. Python/R Place of
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that rely upon interdisciplinary competences in: communication theory, networking, information theory, physics, mathematics, computer science, and statistics. This PhD project falls under Research Thrust RT3
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model checking. You should be well versed in basic statistics and practical programming skills is a must. Knowledge about the inner workings of GenAI would be nice but not necessary. You must have a two
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., linear algebra, statistics, optimization, and calculus) is expected, along with programming experience using deep learning frameworks in Python (e.g., PyTorch). While prior knowledge of machine learning
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. This entails new models for integrating choice and process data, new statistical inference procedures tailored to such models, and new methods for collecting rich behavioural data in immersive experiments