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of cooperative effects in charge transport, proton dynamics and electrochemical conversion in solids and at electrochemical interfaces. Your tasks The research focuses on experimental investigations and theory
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opportunity The School of Mathematics and Statistics (SMS) is currently seeking a Postdoctoral Research Associate in Statistics to develop new theory, methods, and applications of statistical dimension
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Representation Theory, Applied Mathematics and Theoretical Physics. Applications are invited for a one-year, full-time Postd octoral Research Associate to join the Theoretical Physics group and work with Dr Andrea
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to the theory of cryptography, cyberspace security, anti-quantum cryptography and privacy computing. Discuss and key technological breakthroughs, and focus on promoting the practical application in the direction
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. Experience with computational solid mechanics, computational soft tissue mechanics, or a closely related mechanics field. Well-developed coding expertise in Python, Julia, C++, Fortran, or a similar scientific
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and technical papers for publishing. Investigates the feasibility of applying a wide variety of scientific principles and theories. Maintains substantial knowledge of state-of-the-art principles and
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with one or more prominent computational science software packages in the area of Lattice Gauge Theories (Chroma, CPS, MILC, QUDA, Grid, etc.) is highly desirable. Familiarity with C/C++ and accelerator
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field. Strong computational chemistry background in atomistic simulations, electronic-structure theory, DFT, structure-property relationships, and interpretation of simulation results. Hands-on experience
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behaviour change theory (e.g. COM-B, the Theory of Planned Behaviour, or the Value-Belief-Norm model) as applied to sustainability or circular economy contexts. Experience with citizen science, co-creation
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IRCM - Cancer Research Institute of Montpellier | Montpellier, Languedoc Roussillon | France | 3 months ago
, Computer Vision, AI, Medical Imaging, or a related discipline. ● At least 3 years of research experience (post-PhD), ideally in an academic or public research setting. ● Solid grasp of deep learning theory