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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD position: How Cells Scale
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to the development of a multi-component framework for reliable and computationally efficient fatigue diagnosis and prognosis of steel structures. Building on the group's established expertise in virtual sensing and
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31.07.2026, Academic staff We are seeking a researcher in Scientific Machine Learning (SciML) to join the project "Data science at scale" at the Technical University of Munich, Germany. Ideal
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About the project: Under pressure: Predictive modelling of battery ageing across the scales Supervisor: Dr Lukasz Figiel, University of Warwick Lithium-ion batteries are essential for electric
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to the development of a multi-component framework for reliable and computationally efficient fatigue diagnosis and prognosis of steel structures. Building on the group's established expertise in virtual sensing and
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reconfigurable multi-source microgrids - Collaboration and co-supervision : LAAS-CNRS & AMPERE – - French Program France2030 PEPR FutuRE Context and challenges: Electrical grids are evolving towards decentralized
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of novel methods to decompose the heterogeneity of psychiatric disorders, particularly ADHD, using large-scale genetic, imaging, and epidemiological data from Denmark and other countries. You will apply
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Funding Source: DLA award Eligibility: Available to home fee status and UK domicile EU students We are seeking an enthusiastic PhD candidate to join the Centre for Polymers and Composites (CPC
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capable of automatically selecting the simulation strategy best suited to a given prediction objective, while optimizing the trade-off between accuracy and computational cost. The work will build on multi
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built around a multi-scale logic: the assembly of phases, inclusions, porosity, and diffuse microcracking must first be linked to measurable macroscopic properties, and these macroscopic descriptors must