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Dame More Jobs from This Employer https://main.hercjobs.org/jobs/21961558/onbase-developer-professional Return to Search Results
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
27 Dec 2025 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Computer science Engineering Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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group (https://sbnb.irbbarcelona.org ), led by Dr. Patrick Aloy, to work on Systems Medicine approaches in the context of the CLARITY European collaborative project. Viral infections, together with human
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contribute to academic-industrial collaborative projects. The successful candidate will play a pivotal role in advancing translational research programs that bridge fundamental science with industry-driven
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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 CamDragon Co. Ltd, a Cambridge-based SME offering engineering consultancy and STEM education
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 27 days ago
related topic (Computer Sciences, Computer Graphics, Engineering, or Applied Mathematics) with strong expertise in numerical simulation, mathematical modelling, and software development; taste and skills in
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). Responsibilities: • (60%) Lead research projects in bioinformatics and data-driven discovery. o Design and execute bioinformatics workflows for multi-omic datasets, including RNA-seq, scRNA-seq, ATAC-seq, and
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and materials engineering. They will do this by integrating modern data-centric approaches, such as physics-informed machine learning, structure-aware modelling, and digital-twin methodologies, with
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University of California, San Francisco | San Francisco, California | United States | about 8 hours ago
focus on an AI-driven project aimed at improving patient selection for a Transitional Pain Service (TPS). The position bridges cutting-edge artificial intelligence technology with clinical workflows
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/Computer Engineering, Computer Science, Applied Maths or related. Strong skills in AI techniques/ML/optimisation (Python/Matlab); familiarity with probabilistic modelling, time-series or control/power