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and conduct complex in vivo and ex vivo experiments focused on fibroblast biology, ECM remodeling, and tissue mechanics using advanced mouse models. Apply histological, imaging, and molecular approaches
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Number: 1116923 Working/Functional Title Inst/Ast Prof Fixed Term in Studio Art Position Summary The Department of Art, Art History, and Design at Michigan State University is currently establishing a pool
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2026. Where to apply Website http://concursos.fciencias-id.pt Requirements Research FieldComputer science » Modelling toolsEducation LevelBachelor Degree or equivalent Skills/Qualifications I. Admission
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Sessional Lecturer - PPG2012H-S-Topics: Applied AI Systems & Governance: Technology, Policy & Practi
-world policy applications to equip students with the knowledge and tools needed to engage with AI at both strategic and operational levels. Students will learn how modern machine learning models work
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for harnessing Large Language Model technology to support practice in children’s social care, through collaboration with researchers in Artificial Intelligence, contributing to the overall research performance
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molecular mechanisms underlying spinal cord injury (SCI) and traumatic brain injury (TBI) and develop novel repair strategies to promote neural reorganization and functional recovery in experimental models
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junior developers and researchers Stay current with the latest developments in Deep Learning frameworks for weather forecasting and climate science. Where to apply Website https://jobs.fbk.eu/Annunci
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Postdoctoral Positions for Computational Genomics, Cancer Genetics, and Translational Cancer Biology
biomarkers (IGR burden, TAA burden, IMPREG signature) for immunotherapy patient selection, especially for TMB-low and PD-L1-negative cancers where current tools fall short. AI-powered precision oncology: Build
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quality to expect, whether the part will come out right the first time. Current CAM software largely ignores the fact that every machine tool behaves differently — so feed rates are set conservatively
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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