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, experience with programming (e.g., MATLAB, Python) is highly desirable Highly motivated, independent, and able to work effectively as part of a team Proficiency in English (both written and spoken
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theoretical problems. Good computational/programming skills in Matlab or Python High proficiency in written and spoken English Research at our Faculty The Faculty of Science is a world-class faculty where staff
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numerical methods for quantum systems is preferred. Experience with neural quantum states is a bonus. Good programming skills in Python. Familiarity with JAX is a bonus. Proficient in spoken and written
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, or the equivalent qualifications gained outside the UK. Experience in coding in both Python and R is essential.
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skills in one or more languages (Python, C/C++, or others) experience in mechanical testing profound knowledge of machine learning methods (e.g., neural networks, Gaussian processes, active learning
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starting the PhD). The candidate must be qualified for admission to the ph.d. program Strong background in quantitative methods (reflected in courses and/or research experience) Proficiency in R, Python
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Qualities:You are a computer scientist, a computational biologist or a computational chemist with proven expertise in implementing machine learning methods in Python. You write or have written your master's
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areas: Knowledge of computer science and operations research Familiarity with renewable energy systems and their challenges Proficiency in programming languages such as Python or Julia Strong problem
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with other team members Implement AI-based microscopy image analysis software as python packages Develop algorithms to integrate topology constraints in AI models Report findings and methods in conference and
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language skills. Desirable qualifications: Programming experience in Python or R. Experience in open-source platforms such as GitHub. Experience in the development of neuromorphic hardware implementations