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vision / machine learning, with solid programming skills (e.g., Python, PyTorch) and demonstrated ability to conduct innovative research. Independent, highly analytical, proactive, and a strong team
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communication skills in English Demonstrated fit to one of the three research areas (a) to (c) listed above Proficiency in programming and data analysis in the statistical software environment R, Python, or
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, applied physics, or a closely related field Background in atmospheric radiation and passive radiometric remote sensing Significant experience in scientific programming in Python, MATLAB, or similar
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, Python, MATLAB, or Julia; ability to implement simulations and analyse data. Strong communication and collaboration skills; specialist experience in weak identification, bootstrap methods, or cluster
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. Should have advanced programming skills in Python, as well as proficiency in other programming languages such as R, NCL, and MATLAB. Should have proficiency in scientific computing, high-performance
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, PowerPoint, Teams). You have knowledge of modelling and experience using R or Python. You have a good command of Dutch and are also able to communicate fluently in English, French is a plus. Reporting
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, Computational Biology, Systems Biology, Statistics, Computer Science, or related field; or M.D. with at least 2-3 years of related experience. Strong programming skills in Python, R, or equivalent
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Strong programming skills in Python and/or MATLAB Strong interpersonal, written and verbal communication skills Demonstrated ability to plan and manage research activities independently, prioritise tasks
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transportation systems, transportation data analytics, AI/machine learning, Web-based transportation systems, or database development; Strong programming skills in Python, C++, MATLAB, Java
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fields. Strong knowledge of deep learning, multimodal AI models, Vision-Language-Action models, or related technologies. Proficiency in Python programming and experience with deep learning frameworks