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Field
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of multi-petawatt laser technologies. The primary objective of the project is to exploit the theory and large-scale numerical simulations to design a laser-based optical system capable of efficiently
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No 101073106) The main objective of the GECKO project is to bridge the existing gap between the CAD and the computational models (CAE) and integrate them within the industrial workflow. This will imply
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computational and data-driven approaches, focusing on topics such as plant carbon transport, microbial systems, or circular bioprocesses. You will contribute to developing and applying novel modeling strategies
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extending the existing VL dataset. Design and evaluate DL models capable of classifying marine litter types using multispectral data, with a focus on achieving robustness to varying spectral channel
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other at policy-relevant scales, while ‘top-down’ estimates, based on atmospheric measurements and modelling, are hampered by large natural fluxes of CO2 between the terrestrial biosphere and the
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. You’ll gain experience in spatial analysis, fieldwork, soil and vegetation monitoring, and potentially numerical modelling. The project is a close collaboration with its sponsor, the Environment Agency
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of how alternative land management practices impact greenhouse-gas fluxes through the development and application of sophisticated modelling tools. The work will involve model development on the Cambridge
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associated numerical methods and AI, will be used with High Performance Computing (HPC) to improve understanding of key flow physics and inform future HPT design. Skills and Experience Required: Applicants
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analytical skills, a strong interest in numerical modeling, and good programming skills in Python is required. Eligibility criteria Fulfillment of eligibility criteria is dictated by the European Commission
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attracting highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security