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optimisation, leading to a reduced part scrap rate. Build simulation tools that support the understanding of defect generation during forming. Identify state-of-the-art software and methodologies for modelling
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Translational Neuroimaging of Neurogenetic Disorders DPhil (PhD) Department of Psychiatry, University of Oxford Start: October 2026 Neurogenetic disorders, including aneuploidies and recurrent copy
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overall robustness and maintainability, the target is to explore the use of physics-based simulation tools, such as Drake. The main benefits considered are the ability to model contact dynamics, validate
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into polymer matrices. - Use of luminescent species for applications such as sensors. - Knowledge of DFT‑type simulation methods for modeling molecular properties. - Experience writing scientific articles and
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learning environment. The instructor maintains accurate records, assists with program development and recruitment, and models the professional standards expected in the nursing field. This position is funded
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Università degli Studi di Padova - Dipartimento di Biomedicina Comparata e Alimentazione | Italy | 25 days ago
that led to the population explosion of the blue crab and identification of future climate scenarios,derived from Euro-Cordex simulations under current IPCC scenarios up to 2100, of such environmental
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Brazil, evaluates the effectiveness and unintended effects of anti-crime policies, and broadens the methodological toolkit to structural models that allow for counterfactual policy simulations. As in CLEAN
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5 Dec 2025 Job Information Organisation/Company IFP Energies nouvelles (IFPEN) Research Field Geosciences » Other Computer science » Modelling tools Chemistry » Other Researcher Profile First Stage
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of medicine with engineering, sciences, and the humanities and by drawing on the experience of medical education models both in China and abroad, the School of Medicine is striving to build itself into a base
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inverter topologies (e.g. Dual inverter, 4 bridge inverter) with modern semiconductor devices (GaN, SiC) The aim is to implement own designed algorithms in a signal processor and simulation environment