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active materials by making use of artificial molecular machines. SPRING will establish innovative concepts to elaborate (i) active (supra)molecular systems, (ii) new synthetic objects to study some
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areas of nanoscience and nanotechnology. Job Title: Research Assistant in Active learning Research area or group: Theoretical and Computational Nanoscience Group Description of Group/Project: In
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Responsibilities: Conduct programming and software development for graph data management. Design and implement machine learning models for optimizing graph data management. Conduct experiments and evaluations
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About the Role An exciting opportunity has arisen for a talented Researcher to join the world-renowned Power Electronics, Machines and Control Institute (PEMC) at the University of Nottingham and
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, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community
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at the top venues of machine learning research. Responsibilities and qualifications You should have prior experience with machine learning from both a theoretical and practical perspective. Experience in one
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between CAR T-cells and the bone marrow microenvironment. This project will use spectral flow cytometry, in vitro and in vivo CAR T-cell assays and gene knockdown, overexpression, and CRISPR knockout
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Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow in Machine Learning for Computational Pathology, Medical Imaging, and Clinical Text Analysis Department Bashashati
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Areas: Theoretical Physics / Statistical physics Machine Learning Computational Science and Engineering / AI/ Machine Learning , Artificial Intelligence , Data Sciences , Machine Learning Complex
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The National Institute of Education invites suitable applications for the position of Research Assistant on a 22-month contract at the Office of Graduate Studies and Professional Learning . Project