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/1312.6114 . [5] X. Meng and G. E. Karniadakis, A composite neural network that learns from multi-fidelity data: Application to function approximation and inverse PDE problems, JCP, 401, 109020 (2020). [6] M
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superior nutrient delivery, with the aim to find practical solutions for optimized nutrient adequacy when shifting towards more plant-based diets in Europe. You will use the Dutch Food Composition Table
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the properties of composite, biological networks which consist of stiff filaments and liquid inclusions which arise from liquid-liquid phase separation. We will use a multi-scale approach bridging scales from
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, public authorities in their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? You will develop a multi
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ecological assessment to characterise the structure and functionality of natural and semi-natural riparian vegetation, as well as to analyse how its attributes influence multi-taxon faunal communities. Biomass
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fracture behaviour. The work will explore how this heterogeneity influences deformation and damage, combining advanced experimental characterization with multi‑scale modelling. As a PhD candidate, you will
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
guide fields; systematic inclusion of QED; prediction of observational signatures Task 2 - Multi-scale integration: extraction of conditions from global simulations → local simulations → feedback Task 3
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Framework Programme? Not funded by a EU programme Reference Number AE2025-0551 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https
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details can be found at https://www.net-zero-fibe-cdt.eng.cam.ac.uk/ The project is funded in collaboration with Ramboll and Buro Happold who work across diverse projects with key clients focused
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exclusively by the Foundation for Science and Technology, I.P./MCTES, within the framework of the multi-year funding of R&D Units, for the period 2025-2029, through national funds (PIDDAC), aimed at the PhD in