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Field
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the use of machine learning and AI approaches • Integration of proteomics with genetic data via MR, coloc and FUSION to identify causal and druggable targets Requirements • The successful applicant will
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in Utah to recruit multiple postdoctoral fellows to apply high throughput methods and machine/deep learning to unlock the full potential of the dark proteome. Responsibilities Scientific visionRibosome
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
solid academic background in polymer synthesis and electrochemistry. The candidates should be self-motivated to explore new areas of studies including AI related and machine learning fields, have evidence
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Human Performance Alliance. https://humanperformancealliance.org/ Postdocs are limited duration, funding contingent appointments for one year with a possible annual renewal for up to two additional years
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, Higgs physics, particle dynamics in the early Universe, collider phenomenology, applications of machine learning to particle phenomenology, and lattice QCD, both within the Standard Model and beyond
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to apply Website https://www.academictransfer.com/en/jobs/359291/postdoc-in-machine-learning-and… Requirements Specific Requirements We will base our selection on the following components: a PhD degree in an
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16 Apr 2026 Job Information Organisation/Company Université Savoie Mont Blanc Research Field Computer science Geosciences Researcher Profile First Stage Researcher (R1) Positions Postdoc Positions
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● Experience with machine learning, AI, statistical modeling, or data analysis, demonstrated through publications, projects, or dissertation work ● Track record of completing research projects, as
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imaging specialist – experience in quantitative image analysis, scattering modeling, signal processing, machine learning, or neural-network-based data interpretation. The project is closely connected
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Postdoc Positions Application Deadline 29 May 2026 - 12:00 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 37.5 Offer Starting Date 1 Sep 2026 Is the job funded