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. Applicants should have a PhD in Chemistry or a related field, with a strong background in atomistic molecular dynamics simulations of soft mater, especially polymers and/or proteins, and demonstrable
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: Essential criteria PhD qualified in Biomedical Engineering and Physiology. Proficient in physiological time series processing with SPAR technology and others time series approaches. Coding knowledge in
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, machine learning, multiscale and multiphysics simulation, computational anatomy, medical image analysis, and integration of wearables and biosignal processing, applied to conditions ranging from cardiac
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candidate will hold a PhD in theoretical or mathematical physics, with knowledge of random matrix theory and/or its applications to theory of disordered/chaotic systems, and with some numerical skills
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following skills and experience: Essential criteria 1. A completed, or close to being completed, PhD in computer science, economics, operations research, or a related field. 2. Expertise in
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are expected to have a PhD, or are awaiting its award, in a relevant area (Theoretical Condensed Matter Physics/Quantum Many-Body Systems/Theoretical Atomic and Molecular Physics). For more details on the
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of novel organic mixed ionic/electronic conductors leveraging AI, quantum chemistry, and molecular dynamics simulations. The candidate will work in close collaboration with experimental groups providing
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following skills and experience: Essential criteria Hold a PhD in Chemistry, Materials science, Physics or equivalent. Demonstrable experience in either atomistic molecular dynamics simulations or quantum
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instance. About You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD level qualified in pharmaceutical science, synthetic
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, we are looking for candidates to have the following skills and experience: Essential criteria PhD in relevant subject area * Experience in working with bioimaging and other spatial data, including