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on the modeling of tumor growth. Tumor growth is a complex phenomenon, influenced by numerous biological, metabolic and environmental factors. Morphological magnetic resonance imaging (MRI) is widely used to detect
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data-model integration, leveraging the U.S. Department of Energy’s (DOE) Leadership-Class Computing Facilities to advance predictive understanding of complex environmental systems. Major Duties
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stringent energy, safety, and integration requirements of aviation. The main objective of the postdoctoral position is to develop a high-fidelity battery system model ready for future digital twin development
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are being strengthened. Subject and project description This project is focused on the development of high-fidelity reacting flow models to investigate thermal runaway in battery cells, pack, modules, and
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” in the Moonshot R&D project (Goal 8) https://www.jst.go.jp/moonshot/program/goal8/84_kotsuki.html [Work content and job description] The selected person will address numerical modeling of heavy
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thereafter. We are seeking a detail-oriented and well-structured candidate to support our research on ecological modelling and simulation, contributing to projects within sustainable agriculture and ecological
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About the role Applications are invited for a Postdoctoral Research Associate in Modelling of Photoelectrochemical CO2 Reduction, to work under the supervision of Professor Michail Stamatakis for a
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) aligning the images over time and frequency through relative astrometric observations, and (3) calibrating VGOS observations by using the aligned images to model the quasars to be really point-like anchors
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-fidelity battery system model ready for future digital twin development. The tasks including but not limited to: Battery cell and system level models for both mature off-the-shelf (NMC) and emerging new
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, we propose to design pre-trained language models for French with two objectives: To train models for specialised domains (engineering, law, medicine, spontaneous speech transcription) Train models