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, artificial intelligence and cognitive science. You will be part of the GOOD INTENSIONS research team. Work within the GOOD INTENSIONS project is highly collaborative and involves regular group meetings and
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skills (Matlab, Python, C++) are a significant asset. •Knowledge of artificial intelligence techniques and associated optimization algorithms would be appreciated. •Good knowledge of English (working
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Artificial Intelligence, Technology, & Precision Nutrition & Health Cornell Joan Klein Jacobs Center for Precision Nutrition and Health Cornell University Cornell University is seeking applications for two
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Specification Essential Criteria: 1. Qualifications A good first degree in Computer Science, Artificial Intelligence, Data Science or a closely related discipline. A PhD in Explainable Artificial Intelligence
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, Computational Physics, Bioinformatics, Artificial Intelligence or similar. Proven knowledge of scientific English (minimum level B2). Experience in scientific programming (Python, Julia, Matlab or similar
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, spanning fields such as neuroscience and cognition, humanoid technologies and robotics, artificial intelligence, nanotechnology, and material sciences, offering a truly interdisciplinary scientific
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. Requirements: PhD completed less than 7 years ago in Computer Science or related areas; experience in machine learning and data science (supervised/unsupervised models, recommendation and evaluation/robustness
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. The University of São Paulo's School of Arts, Sciences and Humanities (EACH-USP) is CIATec's host institution. Requirements: PhD completed less than 7 years ago in Education or related areas; experience in
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microscopy, and protein structure prediction by artificial intelligence algorithms. The goal is to generate functional models of multimeric protein complexes and how they assemble as a guide to understand
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including genomic experts, immunologists, pathologists, artificial intelligence specialists, and clinician-scientists. The CRC provides access to state-of-the-art sequencing platforms, digital pathology