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% super Pioneering multicellular interface modelling within an open source framework and three translational case studies. Apply now to develop unified multicellular modelling tools and drive experimental
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focus on quantum impurity models (particularly Kondo model). • Strong computational skills (with Python or Julia or C++ or Matlab or equivalent) and using numerical techniques such as exact
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an appropriate set of dimensionless numbers (including Péclet number, Damköhler number, capillary number and viscosity ratio). The project focuses on formulating this coupled model and implementing it numerically
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trips, plus an elective course. Examples of elective courses could include aqueous geochemistry, geomorphology, soils, glaciology, GIS, or numerical modeling. We are seeking candidates who can demonstrate
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existing climate model targets. The postdoctoral researcher will also conduct numerical glacier-climate modelling from GeoPAC2 project output. Salary: Postdoctoral Researcher salary scale €46,805 - €59,654
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 9 days ago
transfer enhancement, bioinspired. The system should be numerically modeled, experimentally assembled and tested. Different working conditions will be tested, namely with the use of PCM materials and
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoctoral Researcher on hybrid AI-optimization modelling The Energy Science Center (ESC) at
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Jupiter's polar regions using computer simulations. The core of the project consists of coupling a photochemical model (developed and used in numerous planetary applications) with an electron transport model
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challenging conditions, and in modelling coastal processes such as coastal erosion, rip currents, and coastal flooding. You will have experience in coastal processes and numerical modelling. Your principal role
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machine learning techniques for building efficient reduced-order models in the context of the numerical simulation of parameterized partial differential equations. The analysis of recent deep learning