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background with experience in using Python, C/C++, and/or Java, etc. strong interpersonal skills with demonstrated ability to communicate (written and oral in English) and interact with a diverse range of
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skills (R, Python or similar) Basic knowledge in machine learning and willingness to improve their skills in this field You are self-motivated but like working in a team, explaining and presenting research
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I-2503 – PHD IN EXPLAINABLE AI FOR DATA-DRIVEN PHYSIOLOGICAL AND BEHAVIORAL MODELLING OF CAR DRIVERS
programming in Python and machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn); · Interest in or experience with XAI methodologies and their applications; · Excellent
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experience in theoretical condensed matter physics, especially in ab initio simulations for materials (preferred). Be proficient in scientific programming (preferably Python) and comfortable working with
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PhD candidate in the automated detection of measurable residual disease in hematological malignancie
(deep learning, probabilistic modelling, generative AI) or machine learning Proficient in Python or R programming Strong communication skills in English Strong interpersonal skills Ability to work
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techniques, including calcium imaging, voltage imaging, optogenetics or all-optical approach. For both PhD and postdoc candidates: Documented experience with scientific programming (Python, Matlab, R; e.g