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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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. Knowledge of structural dynamics and experimental testing. Motivation for hands-on laboratory work and independent research. Desirable: Experience with CAD/FEA (Abaqus/ANSYS), MATLAB/Simulink, wind tunnel
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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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capable of stereotaxic surgery and handling delicate recording probes. They should be strongly self-motivated, ambitious, and able to use Python and/or MATLAB to analyze neural and behavioral datasets
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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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*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
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Experience with MATLAB/Simulink, including Control System Toolbox, System Identification Toolbox, or Deep Learning Toolbox. Understanding of battery systems, electrochemical energy storage, or battery