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Field
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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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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 14 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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the interfacial strength, nano-scale 3D structure and residual stresses in advanced power electronic materials (INTERVENE), and is fixed-term of 18 months. Power electronics is a major technology sector for the UK
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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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, cutting-edge DNA and genomic techniques, powerful bioinformatics tools and robust statistics to enable a truly holistic approach for addressing fundamental questions about the distribution and magnitude
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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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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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assist working groups and steering committee members in accomplishing project milestones, training PhD and other students, conducting research and analysis, developing dissemination materials, and
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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