18 programming-"Multiple"-"Prof"-"FEMTO-ST-institute"-"St"-"UCL" "U" Fellowship positions
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Apply Now Job Summary An exciting opportunity has been created for an experienced researcher to join the Alumkal Laboratory (https://alumkal.lab.medicine.umich.edu/ ) at the U of M Division of Heme
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Application Deadline 31 Oct 2025 - 00:00 (Europe/Paris) Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded
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. Translational projects will require the postdoctoral fellow to work with faculty to plan study methods, draft IRB protocols, and carry out the project as detailed. It is essential that applicants have excellent
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. Researching and developing novel machine learning architectures for integration across multiple types of high-dimensional data. Researching and implementing novel algorithms for analysis of latent factors and
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complexes in the world and has been the site of many groundbreaking medical and technological advancements since the opening of the U-M Medical School in 1850. Michigan Medicine is comprised of over 30,000
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services at the University of Michigan Library in close collaboration with the university community. Your primary responsibility will be to facilitate a multifaceted Digital Scholarship Fellows program. This
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digital scholarship activities. Provide liaison services for multiple Digital Scholarship-related campus programs. Research and Professional Development (10%) Participate in ongoing learning and
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leading multiple research initiatives that leverage imaging and computational methods to address critical challenges in urology. Ongoing efforts include the development of dynamic contrast-enhanced
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development in Neurodevelopmental disorders associated with altered chromatin regulation. The candidate will participate in multiple NIH-funded projects that explore disease mechanisms in rodent and human
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an advanced AI-augmented digital platform (AiCT-Med) powered by cutting edge machine learning models trained on multiple large, aged care datasets from providers across Australia. The platform is designed