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experimentally, followed by further model improvements, and implementation or design of a robust workflow and predictive design tool. Where to apply Website https://www.academictransfer.com/en/jobs/359149/engd
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. ETRO, the Department of Electronics and Informatics (http://www.etrovub.be/) of the Vrije Universiteit Brussel (VUB), performs fundamental and applied research in signal processing, AI, computer vision
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) at the University of Southampton. The successful candidate will contribute to an interdisciplinary research programme developing computational models to understand molecular interactions relevant to antimicrobial
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models—including myocardial infarction, tachypacing-induced heart failure, and atrial fibrillation—are essential for understanding disease mechanisms and therapeutic targets. The University of Manchester’s
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The research aims to extend and enhance multiscale modeling approaches for photo
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) invites applications for a fully funded 4-year PhD program in Process Systems Engineering. The project aims at integrating data-driven optimisation and design of experiments techniques with model-based
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12 Mar 2026 Job Information Organisation/Company VIB Research Field Biological sciences Computer science Researcher Profile Recognised Researcher (R2) Positions Other Positions Application Deadline
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computer vision, NLP, and other AI domains to biological problems Build computational frameworks that integrate multi-scale immune data for digital twin development Implement rigorous model validation
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Washington, D.C. Connections working at Johns Hopkins University More Jobs from This Employer https://main.hercjobs.org/jobs/22103428/modeler-x2f-data-scientist-i-x28-epidemiology-x29 Return to Search Results
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search will be used to explore combinations. Results: The developed methods are intended to allow the training of balanced but also specialised computer vision models, particularly in the field of face