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, epidemiological data and outcome modelling using AI-assisted algorithms, as well as multi-modal data integrations. An established data infrastructure with expertise and computational pipelines for these analyses
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, bioinformatics pipeline development, and computational analysis of large-scale biobank datasets to study cardiovascular disease genetics. Primary responsibilities include analyzing common and rare genetic
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, Tenured/Tenure-Track, Full Time, Faculty - Computer Science California State University, Fresno College of Science and Mathematics Department of Computer Science http://fresnostate.edu/csm/ Computer
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to develop new software products and build robust, scalable solutions for computational research and public impact projects. This role involves designing, developing, testing, and maintaining software, with
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-state WWAMI (Washington, Wyoming, Alaska, Montana and Idaho) region. The department supports a residency program, four fellowship programs, including Gynecologic Oncology, and is a major teaching site for
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description ANNOUNCEMENT FOR THE AWARD OF A RESEARCH
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organic chemistry. Prior success in securing extramural funding, especially those that may be transferable to this position. Demonstrate expertise in mathematical algorithms, high-performance computing, AI
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applications for a Postdoctoral Research Associate in Transportation Systems Modeling, Computing, and Cloud-Based Mobility Analytics Platforms as part of the CTECH Postdoctoral Fellows Program. This position
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) Established Researcher (R3) Application Deadline 14 Mar 2026 - 22:00 (UTC) Country France Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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the results and improving the algorithms. It will also involve extensive literature reviews. Applicants must have an undergraduate degree in computer science, have significant experience with deep learning with