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programme Reference Number AE2026-0170 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0170
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to: Machine learning and artificial intelligence for cancer research. Foundation models and large-scale biological learning systems. Single-cell and spatial multi-omics analysis. Computational genomics and
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as a pioneer amongst manufacturing RTOs in enabling competitive clusters and supply chains and supporting individual businesses to scale. As a member of the AMIC senior management team, the Head of
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programme Reference Number AE2026-0188 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0188
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division provides campus-wide coordination and leadership of student success programs, activities, and initiatives. Colleges, Housing, and Educational Services (CHES) is a multi-funded organization within
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
data Large language models for patient records and multi-omics Generative AI for therapeutic and molecular design Sensor data integration and analysis AI for clinical trials Fair, robust and trustworthy
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here: https://www.elsadiabetes.nhs.uk/ The study is supported by Research FIRST (https://birminghamhealthpartners.co.uk/for-researchers/our-research-first-service/ ) , a service which provides expert
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information about our compensation scales is available at: https://apptrkr.com/get_redirect.php?id=7338147&targetURL= COMPENSATION: Pay Rate: $34.00-$37.00 per hour This represents the good faith estimate
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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | about 1 month ago
, protein biochemistry, quantitative proteomics, and functional genomics to investigate transcriptional regulation across multiple spatial and molecular scales. The project encompasses three interconnected
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. Additional qualifications (required at time of start) Experience: Minimum of 12 months of experience working with large-scale data workflows, system scripts, or geospatial datasets. Preferred qualifications