389 modelling-and-simulation-of-combustion-postdoc Postdoctoral positions in United Kingdom
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Description of the offer : To further advance and refine novel techniques—such as x ray detected ferromagnetic resonance (XFMR) with polarized soft x rays in reflectivity and diffraction geometries—to investigate magnetization dynamics. The goal is to precisely resolve the static and layer...
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continuum modelling and finite-element simulations of multicomponent, multiphase electrochemical systems. • Ability to manage own academic research and associated activities • Previous experience
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modelling and finite-element simulations of multicomponent, multiphase electrochemical systems. Ability to manage own academic research and associated activities Previous experience of contributing
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) Experience of working with multiple stakeholders in complex systems. Experience in large scale simulations Experience in Bayesian methods Experience using CRAFTY agent based model Full details of the role and
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of the Solar Atmospheric Modelling Suite (SAMS) a next-generation, modular simulation framework for the solar atmosphere, tackling the chromosphere/corona problem. SAMS is being designed to incorporate world
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modelling the coupling of atmospheric and micro-physics moisture dynamics. The work will be carried out in collaboration with and under the supervision of Professor Edriss S. Titi. Duties include mathematical
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-based workshops; and System Dynamics Modelling, to understand how to maximise the contribution of Nature Based Solutions to climate change adaptation in the UK through multifunctional landscapes in
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. The research undertaken includes the interpretation of collider data and theory support for LHC phenomenology and future colliders. The Research Associate will be working on beyond the Standard Model
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50 Faculty of Life Sciences Startdate: 01.08.2025 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 31.07.2031 Reference no.: 4188 At the University
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project is to develop a series of surrogate models focusing notably on Physics-Informed Neural Networks to emulate the process of sediment deposition, diagenesis, and potentially fracturing, working closely