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2 PhD Positions in Computational Modelling of Biological Membranes and Adaptive Functional Materials
1 – Molecular Simulations of Asymmetric Biological Membranes (CRC 1348) Biological membranes are intrinsically asymmetric molecular assemblies whose organization and function emerge from the interplay
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semiconductor discovery. As part of the IRTG OPTEXC program, you will work at the intersection of generative AI, computational chemistry, molecular simulation and materials science, developing computational
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resulting simulations against airborne, surface, and satellite observations, and finally, to investigate how changing NOx emissions have altered the cycling and impacts of tropospheric NOx over time. Job
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access to advanced laboratories, simulation environments, and a multidisciplinary research setting. What are you going to do? As a PhD student, you will contribute to the development and validation
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commercial FE simulation software for the development of a digital twin and validate their accuracy against experiments. We are looking for a colleague who has experience in mechanical experimentation
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physical effects. The research activity will also involve the study, simulation, development, and experimental validation of signal-processing techniques and electronic circuits, with particular attention
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mechanisms with Fe-SMA fibres, including activation, recovery stress, prestress transfer, and reactivation. Structural-scale simulation of SURPASS overlays in strengthened members, including parametric finite
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printed circuitry with custom microfabricated bioresorbable sensors, this device will be tested in a simulated intestinal environment. The device will have three separate lifetimes, the structural lifetime
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experience in electrical machines, power electronics, control systems, thermal management, or related fields (desirable). Experience using simulation software such as COMSOL Multiphysics, MATLAB, and/or Ansys
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combine ultrafast pump–push–probe experiments with sub-10 fs resolution, finite-element simulations, and quantum models extending the Tavis–Cummings Hamiltonian. The aim is to demonstrate coherent control