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Field
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function of novel innate immune cells in vital tissues such as the lung and the brain. The Postdoctoral Associate will explore components of innate immunity in tissues, and how the interaction between immune
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statistics and machine-learning–assisted approaches, in close interaction with data science collaborators Active collaboration across disciplines spanning spectroscopy, soft matter and nanomaterials
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, conversion and storage, and organic optoelectronics intelligent and advanced polymers and materials. Job description: The successful candidate will: Conduct original and high-quality research in adsorption
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to contribute to cutting-edge research in robot intelligence, machine learning, and AI-driven manipulation. This position offers the opportunity to work on real-world robotic systems and develop novel algorithms
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repertoires and play interactions of children, adolescents, and older speakers, examining cognitive factors such as control in these dynamics, and testing the role of accent in processing non-linguistic
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10 research sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning
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computational physics, computational materials, and machine learning and artificial intelligence, using the DOE’s leadership class computing facilities. This position will utilize methods such as finite elements
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, Chemical Engineering, Material Science and Engineering, or a very closely aligned field. Preferred Qualifications: Experience in studying fluid-solid interactions, reactive material reduction/oxidation
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intelligence (ML/AI) techniques that incorporate uncertainty into visualizations, enhancing the efficiency and reliability of scientific discovery. It also offers exciting prospects for direct collaboration with
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of results at conferences - interaction with team members and international collaborators The Machine Learning for Integrative Genomics team (https://research.pasteur.fr/en/team/machine-learning