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administrative data. Experience with large language models, natural language processing, medical text mining, or clinical AI. Strong programming skills in Python and/or R. Familiarity with medical terminology
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related quantitative STEM field. • Strong programming skills in Python and/or R; experience with SQL and Linux/Unix is desirable. • Demonstrated research experience in biomedical informatics, artificial
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within the consortium. Your Profile Excellent Master in Computer Science, Engineering, Biophysics, Applied Mathematics, Computational Biology, or a related discipline Proven programming expertise in Python
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leverage quantum acceleration where beneficial, while maintaining practical deployability and system reliability. Required knowledge The candidate should have: Strong programming skills (Python
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leverage quantum acceleration where beneficial, while maintaining practical deployability and system reliability. Required knowledge The candidate should have: Strong programming skills (Python
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interfaces, reaction mechanisms, activity and selectivity develop reproducible atomistic simulation and high-throughput workflows using Python, ASE and relevant DFT software analyse electrochemical
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; advanced statistical and data analysis skill (preferably in Matlab, R, Python) and a track record of peer-reviewed papers of high ambition and quality (ideally published in top-tier journals) are
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statistical and data analysis skill (preferably in Matlab, R, Python) and a track record of peer-reviewed papers of high ambition and quality (ideally published in top-tier journals) are key requirements
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energy-intensive infrastructures. Implementing algorithms and simulation models using Python, MATLAB, Julia, or other suitable tools. Analysing simulation and project data, and validating the developed
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journals). Advanced programming skills (preferably in Matlab, R, Python), experience with probabilistic programming languages (e.g., Stan, Turing, Tensorflow), and high-level expertise with data analysis