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example through relevant work experience and/or peer-reviewed academic works. Experience in mechanical testing Experience with programming in Python or Matlab Strong analytical and problem-solving skills
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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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. Demonstrated strong proficiency in programming (e.g., Python, PyTorch/JAX, or similar) and computational skills are required for this position. Candidates must have excellent interpersonal and communication
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doctoral programme in Technology within three months of starting in the position. (https://www.usn.no/english/research/postgraduate-studies-phd/our-phd-programmes/technology/). The doctoral programme
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, e.g. in Python, particularly for machine learning Experience with machine learning theory, evaluation metrics, algorithmic fairness, statistics, or optimization is an advantage Language requirement
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particularly suitable for a PhD education. You must meet the requirements for admission to the NV faculty's Doctoral Programme . (https://www.ntnu.edu/nv/phd) Documented experience with Python or another
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. Demonstrated strong proficiency in programming (e.g., Python, PyTorch/JAX, or similar) and computational skills are required for this position. Candidates must have excellent interpersonal and communication
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(Python, C++, etc.). Experience in mathematical programming and/or optimization software such Pyomo, GAMS or similar. Proficiency in process simulation software (Aspen Plus, Aspen HYSYS, etc.). Experience
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and simulation using tools such as MATLAB/Simulink, DIgSILENT PowerFactory, OpenDSS or equivalent programming in Python, MATLAB or similar languages optimisation, control theory, machine learning
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(e.g. Python, MATLAB, R or similar) Ability to develop and apply models of complex systems, simulation and stochastic modelling, optimisation under constraints Desirable skills and training in one