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management, and machine learning approaches for process monitoring and control For this function, our Brussels Humanities, Sciences & Engineering Campus (Elsene) will serve as your home base.
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microscopy image interpretation), biological and medical sciences (neuroscience and brain microstructure), and computer science (machine learning and artificial intelligence) to achieve a breakthrough in
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be analysed using network analysis and machine learning. Empirically, the project aims to understand what China, the US and Europe are doing to compete in semiconductors, cloud computing and space
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experience with quantitative research methods, including psycho-physiological and behavioral measures and advanced statistical (and/or machine learning) methods. You have a high level of proficiency in English
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. You are fluent in Python, machine learning, and deep-learning tools (e.g., TensorFlow, PyTorch). You can speak and write fluently in English. A background in hydroclimate extreme event analysis is
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be maintaining a pool of diverse, complementary models that can be adapted to new problems through continuous learning. We will develop this methodology to address several applications within the life
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experience with data analysis Enthusiastic team player Basic understanding of immunology Desirable but not required Experience in single-cell or spatial data analysis Machine learning experience Key personal
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-Molecule Drug Discovery Strong foundation in computational methods (e.g. docking, molecular dynamics, QSAR, machine learning) Experience working across diverse target classes Demonstrated impact on
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and Delivery: Design and develop training programs on Data Science and AI topics, including machine learning algorithms, data visualization, and statistical analysis. Provide foundational sessions about
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to substantive political science questions. You have strong skills in automated text analysis and natural language processing (e.g., machine learning including neural networks, relation and entity extraction