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journals strong programming skills the ability to work independently as well as in an international, interdisciplinary team with industrial partners excellent written and spoken English Who we are
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machine learning, preferably experience in probabilistic modeling, Bayesian machine learning, or graph representation learning. Programming skills (e.g., Python) and experience with deep learning
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, data analysis and programming skills (e.g., R, python, matlab, etc). We seek candidates that are team players who can play active scientific and social roles in a diverse and international lab setting
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nanophotonics who are highly motivated and eager to pursue world-class research in theoretical quantum nano-optoelectronics. Experience with scientific programming is expected, while familiarity with numerical
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advantage. The candidate should be comfortable with scientific programming, for example in Python and common machine-learning frameworks such as PyTorch or TensorFlow, and be motivated to combine
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engineering, robotics engineering, or a related field. Programming skills in Phyton, C++ and/or C# are advantage. Willingness to design, plan and conduct experiments in able bodied participants. Fluent in
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. The position will require the candidate to work both on the front and back-end of the system utilizing full technological stacks. The ideal candidate must have excellent programming skills and
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acquisition, equipment construction, machine learning, and image analysis. You master programming in for example Python, MATLAB, or a similar platform and you are motivated to further develop your
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equivalent with the Danish MSc degree to qualify (which is 2 years) Highly skilled in numerical modelling and programming is essential Experience with at least two of the following disciplines is
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, Earth system science, geography, biology or similar, and have experience with: Geospatial and statistical analyses of remote sensing and ecological data, Good programming skills, ideally using R