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Field
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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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, Julia, MATLAB, Mathematica, Qiskit, PennyLane or equivalent platforms. Experience mentoring or co-supervising research students and contributing to collaborative grant-funded projects. Please Note
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desirable. Experience with fluid–structure interaction (FSI) modelling is an additional advantage. Experience with scientific programming (e.g., Python, MATLAB, C++ , or similar languages) is advantageous
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, and modeling tools (e.g., Python, MATLAB, TCAD, photonic simulation software). Strong analytical, problem-solving, communication, and teamwork skills, with the ability to work independently in a
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using python, MATLAB, etc. Ability to support organisation of webinars and remote and in person training activities Publications in Q1 journals on the above topics Please see the attached job description
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languages such as Python/Matlab/C++, and knowledge-based skills on Electrical and Mechanical Systems. Priority would be given to candidates that possess relevant industry experience. Selection process
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control algorithms. Perform experimental testing, data analysis, and performance evaluation of power electronic systems. Develop simulation models using tools such as MATLAB/Simulink, PLECS, or PSCAD
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listed in the project description above (ideally SAR for cryosphere applications) Strong programming skills (preferably Python or MATLAB) Strong background in statistics Fulfillment of the requirements
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learning for materials discovery or quantitative image analysis, DFT calculations for catalyst design, experiences with MATLAB / Python / AutoCAD / COMSOL • Organic synthesis, polymer chemistry, synthesis
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learning for materials discovery or quantitative image analysis, DFT calculations for catalyst design, experiences with MATLAB / Python / AutoCAD / COMSOL • Organic synthesis, polymer chemistry, synthesis