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, with Life Cycle Assessment, and with programming for data science (R, python) will be considered a strong plus. Proficiency in English is a requirement, knowledge of Danish is an advantage. To apply
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processing, optimization, or information theory; Experience in programming, e.g., in C++, Python or Matlab. Experience with quantum simulators, such as NetSquid, is a plus; Familiarity with the basic concepts
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candidate should hold a Master's degree in either Data Science, Applied Mathematics, Business Administration and Economics or a related field with strong programming skills, particularly in Python. Priority
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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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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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DTU Tenure Track Researcher in Nutrition, Sustainability and Health Promotion with a focus on Sus...
xperience with quantitative research methods, Experience in reproducible statistical analyses (preferably R and Python) and in the peer-reviewed publication of results. Must be able to work interdisciplinary
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and fabrication. The ideal candidates have extensive experience with: Programming of IO boards (STM32, Pixhawk, BeagleBone, etc.) in different programming languages (C++, Python, etc.), MATLAB/Simulink
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mechanics, or similar relevant areas. Demonstrated programming skills (e.g., MATLAB, Python) for model development and simulation. Excellent communication skills in English, both written and verbal. Mobility
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. Documented experience with any project in the blue bioeconomy domain, with Life Cycle Assessment, and with programming for data science(R, python) will be considered a strong plus. Proficiency in English is a
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protein design programs and analysis tools is crucial. Knowledge of programs like Rosetta, RF-diffusion, FoldX and python is necessary. Apart from very good modeling skills, knowledge in protein production