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Field
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. Strong programming skills (e.g., Python) and practical experience with AI/ML frameworks (e.g., PyTorch, TensorFlow). A critical thinker with a passion for the ethical and societal implications of AI and a
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Learning, or a related field. For Postdoctoral Fellows: A completed PhD in one of the fields mentioned above and a strong publication record. Strong programming skills in Python and practical experience with
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must have: Documented experience with multimodal MRI, both in research and clinical use, especially within multiple sclerosis (MS). Strong programming skills, for example in Bash, Python, and R. Solid
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skills (Python preferred). Familiarity with ML/Data Science frameworks: PyTorch, JAX, Hydra, MLflow, Pandas (or similar). Additional qualifications Experience with project management, planning and
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, or Python. Active participation in international collaborations and publications in high-impact journals. Motivation and ability to contribute to proposal writing and the development of R&D projects funded by
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presentation skills in English. Solid programming skills in Python, MATLAB, or Julia and knowledge of standard optimization tools (such as CasADi or Gurobi). Strong skills in mathematics, excellent capacity
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background in programming (Matlab, python, …) familiar with Multi-body dynamic tools good knowledge of statistics familiar with signal processing, operational modal analysis Personal characteristics Strong
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numerical modelling skills (e.g. Python, MATLAB, CFD codes) Personal characteristics Flexible and dependable Collaborative and independent Innovative and open minded Strong analytical skills Emphasis will be
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numerical modelling skills (e.g. Python, MATLAB, CFD codes) Personal characteristics Flexible and dependable Collaborative and independent Innovative and open minded Strong analytical skills Emphasis will be
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. Solid programming skills in Python, MATLAB, or Julia and knowledge of standard optimization tools (such as CasADi or Gurobi). Strong skills in mathematics, excellent capacity for mathematical formalism