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, scientific computing (in C/C++) and general coding (python, Java) are important parts of this PhD track. The candidate starts from insights in the system and physics-based modelling. Data-driven approaches
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authority (Department of Work, Economy, Science, Innovation and Social Economy) and the Steering Committee. Developing and maintaining code (in Python or R) and supporting the documentation of
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related field Strong interest in applying quantitative and mathematical methods to real-world mobility problems Programming skills (e.g. Python or similar) Excellent command of English, both written
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NONMEM, OSP Suite, Monolix, Simcyp, nlmixr or similar platforms; Programming skills in R, MATLAB and/or Python; Experience with analysis of physiological or biomedical data. We offer: A four-year PhD
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, bioinformatics, biomedical engineering, computational biology, statistics or a closely related field. You have strong programming skills, preferably in Python, and experience with machine learning or deep
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Educational NLP and/or Industrial NLP or are willing to conduct research in these fields. Your technical expertise includes: Strong programming skills, particularly in Python. Proficiency in other languages is
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programming skills in Python, and experience with at least one deep-learning framework (PyTorch preferred).• A solid grounding in machine learning. Experience with representation learning, generative
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design-oriented achievements. Demonstrated strong Python programming and practical experience with Git/version control, databases, mobile prototyping and relevant AI/XAI libraries (for example, scikit
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hardware is a plus. - I am proficient in Python and/or C++ and am familiar with simulation environments (e.g. Gazebo, MATLAB) and hardware-in-the-loop testing. - As a PhD researcher at KU Leuven, I