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develop tools for ingesting, transforming, and integrating large, heterogeneous microscopy image datasets—including writing production-quality Python code to parse, validate, and transform microscopy data
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here: https://employment.ku.dk/faculty/criteria-for-recognising-merit . Furthermore, we are looking for a highly motivated and enthusiastic scientist with the following skills and experience: Essential
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, or interaction for robotic systems Deep learning or applied machine learning for robotics Practical experience with robotic hardware, software development (e.g., Python, ROS, PyTorch, TensorFlow), and AI-based
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science, law, or public policy Strong quantitative and/or qualitative research skills Experience with qualitative analysis methods and/or statistical software (R, Python, Stata) Familiarity with platform
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Linux, Python, and at least one additional programming language. Experience working with large, existing codebases. Experience in building web applications and APIs. Technical Skills or Knowledge
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. Experience with coding languages in order to process the behavioral and EEG experiments, as well as experience with statistical and computing programs (e.g., R, MATLAB, Python, SPSS). Preferred Qualifications
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, and/or numerical mathematics, as well as an excellent command of a programming language, preferably Python or C/C++. The candidate should have an interest in modeling and solving a complex, coupled
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