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that the applicant has a PhD, or an international degree deemed equivalent to a PhD, within the subject of the position, completed no more than three years before the date of the employment decision. Under special
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, collaborate with the top experimentalists, and perform numerical simulations (matlab/python/mathematica). Key Requirements: • Hold a PhD degree in Physics or related fields from a recognized university
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by ATi/Innovate UK and Rolls Royce and is fixed-term to October 2029. You will join a world‑leading programme advancing experimental and numerical methods for predicting the performance of 3D woven
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/research/ Typical responsibilities: • Development and analysis of PDE-based mathematical models • Derivation, analysis, and implementation of numerical methods and simulation algorithms • Rigorous
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Eligibility criteria The candidate must have a strong background in materials physics, atomistic simulation, or numerical modeling. Experience in molecular dynamics and handling force fields is required
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sheets and amorphous graphene nanoribbons generated by collaborating teams at University of Ankara. They will be trained in the LSQUANT methodology and in the numerical tools developed at ICN2 to simulate
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neuroimaging. The successful candidate will participate in the design, simulation, construction, and experimental evaluation of advanced RF and electronic systems for biomedical imaging applications
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environment with strong connections to numerous active theoretical and experimental groups at the Pohang University of Science and Technology (POSTECH). APCTP also maintains broad international agreements with
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—integrating first-principles simulations with machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive
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assessment tool that computes SOT efficiencies through autonomous numerical modelling and quantum transport simulations, and COMPASS, an evolutionary optimiser that proposes new candidate heterostructures