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the Job related to staff position within a Research Infrastructure? No Offer Description Mission: Develop and apply numerical simulations of floating marine litter dispersion. Functions to be developed
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About us The research in Photonics & Nanotechnology Group ( https://www.kcl.ac.uk/research/photonics-nanotechnology ) involves the development and applications of advanced photonic technologies and
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education and/or experience in one or more of the following: Experience with mathematical and computer modeling & simulation, mechanics, multi-physics numerical simulations, sensor technologies Experience
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of collections of fluid particles distributed over a lattice is here preferred to solving non-linear PDEs. Processing a simulation in this way has some advantages. The low numerical dissipation allows
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testing; iii) probabilistic analysis of experimental data; and iv) finite element model numerical simulation of mechanical behaviour. b) Must be author of at least five articles published in English in
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Simulation Framework The Computational Biology (CoBi) group, led by Prof. Dagmar Iber, develops data-driven, mechanistic models of biological systems using advanced imaging and computational tools. Our group
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a conceptual framework for exploiting symbiotic interactions to modulate mitochondrial states. Where to apply Website https://jobs.bc.cas.cz/en/detail/278 Requirements Research FieldBiological
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: Copy of certificate or diploma*; Curriculum vitae. *- The administrative verification of the recognition of the degrees obtained abroad will be fulfilled for the purpose of contracting, in case
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PhD Research Fellow in ML-assisted reservoir characterization/modelling for CO2 storage (ref 290702)
, preferably in seal/reservoir/overburden heterogeneities, static and dynamic reservoir modelling, and flow simulation. The candidate will work in a team of geologists, geophysicists, geochemists and staff with
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the results of a 3D LES numerical simulation of the same facility, performed by other members of the team, in order to validate a phenomenological model. In particular, these data will help identify the main