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. This is a unique opportunity to be part of Amgens R&D Postdoc Program Center of Excellence in Inflammation and Autoimmunity located at our research site in South San Francisco, California. Postdocs will
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evaluate machine learning approaches for predicting clinically successful drug targets. For this work, the postdoc will have access to a large high-performance compute cluster and to AbbVie's cutting-edge
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facilities in Chile, Arizona, and the Canary Islands. Postdocs in the University of Alabama Department of Physics and Astronomy also have access to High-Performance Computing facilities at UA, including
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of the KIS Programme Manager and KIS Principal Investigator. The post-holder will also work collaboratively with funders, NHS staff, public members and other stakeholders to plan and deliver high-quality
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an ITRAX XRF core scanner. The Senior Research Fellow will be primarily responsible for overseeing the daily operation of the facilities, including preparing samples, conducting high quality analyses
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experience with coding in R, Matlab and/or Python, and already adapt to using the UNIX command line and executing analyses using high performance computing cluster. Preferred qualifications: Prior experience
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Recognised Researcher (R2) Positions Postdoc Positions Country Ireland Application Deadline 26 Sep 2025 - 23:45 (Europe/Dublin) Type of Contract Temporary Job Status Full-time Hours Per Week 39 Is the job
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experience performing in vivo biodistribution imaging to apply to an exciting project investigating antibody penetration in heterogenous tumor models. The postdoc will work closely with in vivo imaging
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of statistics and mathematics are required. Training experience in artificial intelligence (such as machine learning and deep learning), experience working in a high-performance computing cluster environment, and
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interpersonal and communication skills across wet-lab, computational and facility teams Familiarity with high performance computing environments and reproducible workflows Experience providing support for spatial