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. Practical experience applying machine learning or deep learning methods to biological data. Proficient in Python, with working knowledge of bash and experience using HPC or cluster environments (e.g. SLURM
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in one of these areas. Alternatively, you have gained essentially corresponding knowledge in another way. Experience with programming (e.g., Python, MATLAB, C/C++ or similar) and an interest in
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, Engineering or Chemistry Familiarity with areas such as design-of-experiments, soft matter physics, experience in programming (e.g. Python) Experience in X-Ray scattering, rheology or thermal analysis are a
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(e.g., Python, MATLAB) Practical experience with laser optics, vacuum technology, cryogenics, and FEM simulations is highly desirable Proactive working style with high level of commitment in solving
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an undergraduate – is an advantage. Some knowledge of programming in, for example, R, Python, Stata is also helpful. Why work with us? London Business School is one of the world’s elite business
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present. Evaluation of the trained models on suitable datasets. What you contribute Good knowledge in the field of machine learning and training neural networks. Good Python skills, preferably some
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AZ Inst for Resilience Department Website Link https://air.arizona.edu/ Location Tucson Campus Address Tucson, AZ USA Position Highlights Arizona Institute for Resilience in Office of Research
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and students, it offers a friendly and international work environment Learn more about CQT at https://www.cqt.sg/ Job Description We are looking for a talented and motivated Research Fellow to join our