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data sources such as UK Biobank and eventually come up with algorithm useable for the early detection of Alzheimer’s disease (AD) and Parkinson’s disease (PD). Nature of Work: In this project, we will
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The 2025 PROS application will open in September 2025. Are you interested in exploring your options for postdoctoral training and do you anticipate graduation by the summer/fall of 2025? Postdoctoral Research Opportunities in Science (PROS) at Baylor College of Medicine allows you to meet...
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oncologists, radiation oncologists, …) towards the overall aim of enabling precision theranostics radiopharmaceutical therapies (RPTs) via advanced computational oncology and pharmacokinetic modeling. Our
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well as the Paediatric Orthopaedic Sports Injuries Program (POSI-P) which is in the UBC Department of Orthopaedics. They are seeking a temporary full-time Research Coordinator for a 1-year term with the possibility
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The Gulf Research Program’s Science Policy Fellowship program helps scientists hone their skills by putting them to practice for the benefit of Gulf Coast communities and ecosystems. Fellows gain
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. Its vision is to transform health care outcomes through the unconstrained exploration of the best possible integrative solutions across engineering, medicine, and biology. The computational cancer
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Science Specialist will: 1) review empirical data and algorithms applied to the price, end-use, fishing effort and layer 3 databases and develop code that imputes missing data to complete gaps in
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The L’Oréal USA Fellowships for Women in Science program is a national awards program that annually recognizes and rewards five U.S.-based women researchers at the beginning of their scientific
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NIFA supports research, educational, and extension efforts in a wide range of scientific fields related to agricultural and behavioral sciences. In all of these areas, you will find NIFA working in pursuit of our vision. To address contemporary agricultural challenges, we seek to catalyze...
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, this candidate will align computational methods with experimental workflows. The focus will be on developing advanced machine learning algorithms for monitoring various in vitro cell culture models (2D, 3D