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includes the prefrontal cortex with a focus on selection between stimuli of different value and its plasticity. The project will be carried out by applying “all optical physiology” methods, i.e. a
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sediments and/or numerical modeling is preferred. Candidates should have a publication record in hydrogeology and/or related fields. Knowledge of traditional groundwater/surface water instrumentation
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European institutions, innovative companies, the Financial Centre and with numerous non-academic partners such as ministries, local governments, associations, NGOs … How to apply Applications should include
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, advanced imaging techniques and numerical modelling. About the role A successful candidate will be working on the EPSRC funded project New perspectives in photocatalysis and near-surface chemistry: catalysis
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hydrogen transport properties. Collaborate on neutron scattering experiments (e.g., at national labs) to investigate fluid–mineral interactions and pore structure evolution. Develop and calibrate numerical
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used in our work centre around optical imaging and spectroscopy and nanofabrication. The work also relies on theory and simulation, specifically focusing on numerical mean-field electrostatics
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policies pertaining to other schools at Duke University. The postdoc candidate is expected to: 1) Develop novel methods for incorporating scientific machine learning in solving problems in solid mechanics
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used in our work centre around optical imaging and spectroscopy and nanofabrication. The work also relies on theory and simulation, specifically focusing on numerical mean-field electrostatics
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bases and instruments in terms of their efficiency and incidence Applied game-theoretic modelling based on 1) and on numerical estimates of the benefits that potential donor countries derive from
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, computational fluid dynamics and material science, dynamical systems, numerical analysis, stochastic problems and stochastic analysis, graph theory and applications, mathematical biology, financial mathematics