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advanced machine learning, with a focus on recommendation systems, graph neural networks, and multimodal AI, by designing novel models and methodologies, and leveraging large-scale structured and
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inference, phylogenetic analysis, or machine learning pipelines depending on profile). • Process, clean, and analyse large-scale epidemiological, genomic, and/or mobility datasets. • Develop data
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on the selection of hazardous versus sustainable innovations. The project combines large-scale data on chemical compounds and patents with computational chemistry and machine learning to generate novel
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teaching. The successful candidate will contribute to the Institute’s research and teaching activities, including the development and application of advanced machine-learning models and big data analytics in
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information, or quantum algorithms Knowledge of machine learning (e.g., deep learning, optimization, or learning theory) Programming skills in Python and experience with scientific computing (e.g., NumPy, SciPy
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, machine learning, and photonics. Be part of a multidisciplinary research team spanning science and engineering. Access state-of-the-art laboratories and high-performance computing facilities. Gain
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, with a particular focus on the selection of hazardous versus sustainable innovations. The project combines large-scale data on chemical compounds and patents with computational chemistry and machine
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interest in cell biology (DNA repair field), microsccopy and processing of large datasets Strong English language skills – both spoken and written Eager to learn innovative approaches in data analysis
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candidate will have recently completed (or be close to completing) a PhD in Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically
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Assistant Professor position in Computer Science with a Focus on Interdisciplinary Data Science_3...
contexts is highly desirable. Who are we looking for? The ideal candidate * is a computer scientist, data scientist or an applied mathematician holding a PhD * has a strong record of research at a high