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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 18 days ago
: PhD in nuclear engineering, applied physics, computational science, or a closely related field; demonstrated experience in Multiphysics modelling, numerical methods for PDEs, and code verification and
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community-based dissemination. • Contributing to curriculum development and EDI programming within the Ted Rogers School of Management. Qualifications • A PhD in Accounting, a PhD in Management specializing
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the ability to support local people and communities everywhere. By working in and across multiple scientific areas, CALS can address challenges and opportunities of the greatest relevance, here in New York
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researchers and PhD students, pursuing research in many aspects of field theory, string theory, and integrability (for more information, see www.hw.ac.uk/uk/schools/mathematical-computer-sciences/research/maths
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: A PhD in Computer Science, Engineering, Mathematics, theoretical Physics or other degree programs from top universities involving at least one of the following topics: Machine Learning, AI, Dynamic
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in vitro platforms and humanized mouse models Your Profile: Required qualifications: PhD in virology, immunology, or a related field Degree in life sciences, human medicine, or veterinary medicine In
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Qualifications: A PhD in quantum science, physics, materials science, or a related field completed within the last 5 years. Previous research experience in quantum sensing, quantum photonics, cryogenic
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Ability to work in a large international collaboration Hands-on problem-solving skills and clear and concise verbal and written communication skills Demonstrated track record of publication of research in
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: A PhD in Computer Science, Engineering, Mathematics, theoretical Physics or other degree programs from top universities involving at least one of the following topics: Machine Learning, AI, Dynamic
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mechanics of yarn fibers and textile structure inform the development of robust software modeling tools and testing instruments for realistic fabric simulation that enable inverse design. Ability to work in a