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- NTNU - Norwegian University of Science and Technology
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/phd ) Documented experience with Python or another relevant programming language, or with computational materials science/chemistry. Good oral and written presentation skills in English. PLEASE NOTE
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optimization. Strong programming skills (Python, Julia, Jax). Experience with numerical optimization is also desirable. Personal characteristics To complete a doctoral degree (PhD), it is important that you are
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Computer Science, Data Analysis, Software Engineering, Physics, Mathematics or related disciplines with a strong academic record. Strong programming skills, preferably in Python, and experience developing non
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interest in computational chemistry. Familiarity with software development (Python, git) and supramolecular would be an advantage. Please note this post is subject to Dstl security clearances. Funding Notes
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programming (Matlab and/or Python); Hands on with laboratory work, skilled in experimental design; Creativity, assertive attitude, and perseverance The selection process will start immediately; the intended
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processing skills in Python or Matlab. Proficiency in written and spoken English. Doing a PhD at TU Delft requires English proficiency at a certain level to ensure that the candidate is able to communicate and
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, structure preserving deep learning, stochastic differential equations, generative AI, numerical optimization. Strong programming skills (Python, Julia, Jax). Experience with numerical optimization is also
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. Experience in mechanical testing Experience with programming in Python or Matlab Strong analytical and problem-solving skills Excellent oral and written presentation skills in English The appointment is to be
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. Demonstrable experience with data processing, signal analysis and programming (e.g. Python/Matlab). Ability to work independently as well as in a multi-disciplinary team. Fluent in English (oral and written
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meet the requirements for admission to the faculty's doctoral programme in Engineering Cybernetics . Strong programming skills, in particular Python, and practical experience with modern machine learning