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, Greater Helsinki, Finland. Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all
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supervised research within the NIHR HPRU at UCL, to work in partnership with colleagues at the London School of Hygiene and Tropical Medicine (LSHTM), and to be a part of an exciting and thriving research
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certification, dramatically accelerating innovation cycles. What you will gain: Expertise in Finite Element Analysis, Scientific Machine Learning, Uncertainty Quantification, and Professional Programming
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or international equivalent, in a related discipline. Any offer will be subject to the University admissions requirements. An IELTS score of 6.5 (with 6.0 in each element) or another English Language qualification
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of Computer Science and Technology at the University of Cambridge, UK. This position is part of a broader effort to advance fundamental research in classical and quantum complexity theory. The successful candidate will
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work is linking microscopic (discrete) mechanics to macroscopic (continuum) models of active slender systems. The project involves three main components: Theoretical continuum modelling. Extend classical
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/computational element. Students will develop a strong background in quantum information theory, and one or more of: open quantum systems; quantum stochastic processes; tensor networks; quantum thermodynamics; and
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mathematical perspective? Are you an innovative and productive team player who enjoys being part of an interdisciplinary team which works on cutting-edge questions ranging from mathematics and theoretical
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. The successful candidate will be based in the Mechanical and Aerospace Systems research group (previously known as G2TRC) within the faculty of Engineering and will be part of a supportive team of 50 researchers
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multinational medical device companies. The candidate will be part of a diverse, international team. We welcome applications from all qualified applicants and encourage applications from traditionally under