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Computational Science or Data Science Compute-intensive Statistics or Applied Mathematics Proficiency in a relevant programming language, e.g., Matlab, Python, R, C/C++ is expected and practical or research
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cleanroom processing of nanodevices Programming skills for electrical measurement scripts and data analysis, for example with Python or Matlab. Consideration will also be given to how the applicant’s
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, spectroscopic techniques (vibrational and X-ray spectroscopy), inorganic synthesis, and advanced data analysis (MATLAB, R or Python). Experience in thermodynamics and/or molecular modeling (e.g., molecular
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research within related technical domains. Knowledge and interest in modelling and optimisation of systems with both commercial and bespoke tools. Good programming skills, for example in Matlab, C++, Fortran
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and interest in modelling and optimisation of systems with both commercial and bespoke tools. Good programming skills, for example in Matlab, C++, Fortran or Python. Experience of and interest in
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Python and Matlab (at minimum). Be fluent in English, both spoken and written. *The date on your doctoral degree certificate is considered the official date of completion. Exceptions to the three-year
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learning, AI, or statistical modeling. Proven ability to handle large and complex datasets, including preprocessing and integration. Strong programming skills (e.g., Python, R, MATLAB, or similar
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ability to handle large and complex datasets, including preprocessing and integration. Strong programming skills (e.g., Python, R, MATLAB, or similar). Demonstrated ability to conduct independent research
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(e.g., in MATLAB or Python) Strong publication record in leading Q1 journals and top-tier international conferences Excellent communication and presentation skills in English Independent, curious, and
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Optimal Control Theory Strong programming skills in C++/Python/MATLAB Familiarity with parallelization and high performance computing (CPU and GPU friendly code) Experience with Machine Learning, generative