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Field
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, monitoring, data acquisition and processing in MATLAB and cross-platform Python (Windows and Linux) and experience in integration of systems for synchronised acquisition and aggregation of data sources
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. Desirable Demonstrated knowledge/experience in: multiphase flow porous media flow microfluidic fabrication and experiments 3D printing surface chemistry Demonstrated programming skills in: Matlab C++ Python
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applied mathematical modelling machine learning multi-fidelity modelling numerical methods. Demonstrated programming ability (MATLAB/Python/C++) and enthusiasm to learn PyTorch. Previous experience in one
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• Programming skills (e.g., Python, MATLAB, R) • Experience with AI/ML methods or power system modelling Conditional Offer The award of the PHAETHON PhD Studentship is strictly conditional upon the candidate’s
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Python, MATLAB, or R) is an asset.•You can conduct independent research (demonstrated, e.g., by an excellent Master’s thesis) as well as collaborate well in teams.•You have excellent command of spoken and
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data analysis pipelines using ImageJ, R, MATLAB and relevant programming languages. Plan, troubleshoot and optimise experiments, maintain meticulous records, and prepare data, manuscripts and grant
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“HORIA HULUBEI” National Institute for Research and Development in Physics and Nuclear Engineering | Romania | about 1 month ago
/ Medical Physics • Currently enrolled for PhD studies (proof of enrolment and endorsement from PhD advisor required) • Computer operating/programming skills: Microsoft Office Suite, MATLAB, Origin or other
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(knowledge of energy systems is a plus). The ideal candidate for the position has skills in electrical grid modelling (OpenDSS, Pandapower, MATPOWER, etc.), programming skills (Python, Julia, Matlab), as
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*ideal candidate* is expected to have: - Very good experience in programming in Python or Matlab and data analysis (essential) - Research experience (essential, e.g., through research MPhil/Master’s degree
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solar deployment and contribute to the future co location of solar and wind arrays. The studentship offers full training in experimental methods, data analysis (MATLAB), CFD, offshore renewable energy