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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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interest in AI, machine learning, and NLP. • Experience or education in health data science or a health-related field is a plus. • Strong programming skills in Python with the ability to
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degree Programming skills (Python) and experience with common machine learning platforms Experience with deep learning, computer vision, medical image analysis or unsupervised learning is an advantage
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field of Natural Sciences (e.g. Geophysics, Physics, Geosciences, Geology, Geography, or similar). Experience with radar measurements, remote sensing, glaciology, or scientific programming is an
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, completed before enrolment. A foundation in quantitative social-science research design and comparative political analysis. Demonstrable proficiency in R or a comparable programming environment and