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position within a Research Infrastructure? No Offer Description The position targets the design and evaluation of novel architectures, programming paradigms, and parallel algorithms for AI accelerators
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Research Infrastructure? No Offer Description Commitment & contract: Postdoc, 16 ½ months Location: IIT-CRIS Step into a world of endless possibilities, together let’s leave something for the future! At IIT
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Postdocs in Generative Machine Learning for Biomedical Data. The postholders will focus on developing and applying state-of-the-art generative models (such as VAEs, GANs, and transformer-based architectures
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Postdoc Positions Country Italy Application Deadline 19 Oct 2025 - 23:59 (Europe/Rome) Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 12 Jan 2026 Is the job funded
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) Positions Postdoc Positions Country Italy Application Deadline 27 Oct 2025 - 23:59 (Europe/Rome) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme
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researcher in algorithmic game theory and/or online learning, working with Prof. Celli at BIDSA and the Department of Computing Sciences. The project studies how multiple machine learning algorithms interact
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candidates at all levels of seniority (predoc, postdoc) to work in functional genomics and epigenetics within the context of gastrointestinal cancer research. The laboratory investigates key aspects of drug
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Recognised Researcher (R2) Positions Postdoc Positions Country Italy Application Deadline 18 Oct 2025 - 23:59 (Europe/Rome) Type of Contract Permanent Job Status Full-time Is the job funded through the EU
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sciences Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country Italy Application Deadline 15 Oct 2025 - 14:00 (Europe/Rome) Type of Contract Other Type of Contract Extra
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, the selected researchers will deal with: Research & Development: Designing, developing, and implementing state-of-the-art machine vision and deep learning algorithms to analyze complex image and sensor data