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Field
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while maintaining computational efficiency through lower-fidelity simulation of non-critical regions, (ii) virtual sensing techniques for load and stress estimation from limited and optimally placed
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multiscale simulations and AI predict how a breathable material knows when to seal? In this PhD project, you will develop responsive MOF-peptide coatings for adaptive surface functionalization and derive
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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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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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computational simulation, supported by experimental investigations using test welds and novel material characterisation methods. This project is available from 1st October 2026. Applications are accepted until
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ice, using a framework consisting of an ocean Large Eddy Simulation (LES) and a Discrete Element Model (DEM) of sea ice. Results from these simulations will be validated against a combination of in-situ
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4-year PhD fellowship in the Research Programme - Deep Learning-Accelerated Crystallography Pipeline
and application deadline Please submit a single PDF containing: A CV (max. 2 pages); A cover letter (max. 1 page) describing your motivation; A certified copy of your Master’s diploma and transcript
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for submitting applications. If awarded the contract, they must enroll for the current year in the UPV's doctoral programme for which they have been accepted (if they are not yet enrolled) and submit a copy of the
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comprehensive and innovative methods to directly test palaeoecological hypotheses using both fluid dynamics simulations and experiments, which will be applicable across the study of life on Earth. https
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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