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-level languages (Python, Matlab) Affinity with hands-on experiments is desired General knowledge in physics, particle accelerators and radio frequency systems is a plus Fluent in English Open to team work
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-forming protein biology In vitro reconstitution and lipid bilayer systems Biosensor development or biology–electronics integration Basic programming skills (Python or similar) Familiarity with protein
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, and problem-solving skills Programming experience in Python or a similar scientific language Interest in machine learning and data-driven modelling Excellent written and spoken
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, ideally in nuclear or particle physics. Responsibilities will require data analysis, Monte Carlo simulations, programming (ROOT, C++, Python, GEANT4), and hands-on hardware work; previous experience in some
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and/or hydraulic laboratories Experience with experimental research and data analysis Analytical and programming skills for scientific computing and data analysis (e.g. Python, MATLAB, R, or similar
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(Python, C++, etc.). Experience in mathematical programming and/or optimization software such Pyomo, GAMS or similar. Proficiency in process simulation software (Aspen Plus, Aspen HYSYS, etc.). Experience
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closely related discipline). You have a strong interest in AI/machine learning, data mining, regression analysis, responsible AI, causal inference, and programming (R/Python, SQL). Moreover, you are driven
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areas: Analysis of RNA sequencing and other omics datasets (bulk, single-cell, and/or long-read data) Programming and data analysis, particularly using Python and/or R Ability to work independently in a
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skills in coding and programming (e.g. Python) are recommended. You have a good knowledge of English, both oral and written. Your research qualities are in line with the faculty and university research
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learning, computer vision, or a related field; knowledge of affective computing, generative AI models, and deep-learning methods; proficiency in Python and experience with machine-learning libraries