Postdoctoral Fellow in Machine Learning and Computational Biology, The University of Memphis
3 weeks ago
Job: Postdoctoral Fellow in Machine Learning and Computational Biology, The University of Memphis A postdoctoral fellow position is available for an outstanding candidate interested in developing and applying state-of-the-art machine learning methods to multi-omics data to identify biomarkers for post-traumatic stress disorder (PTSD). The successful applicant will join the Systems Biology of PTSD Biomarkers Consortium (SBPBC), a long-standing collaboration between the University of Memphis, New York University (NYU), Harvard University, Brown University, the University of California San Francisco (UCSF), the Institute for Systems Biology (ISB), and Walter Reed Army Institute of Research (WRAIR). Over the last 15 years, the SBPBC has measured >1 million blood-based molecular markers in >13,000 military service members and civilians with and without PTSD. Members of the Daigle Lab have successfully applied machine learning methods to these markers to enable accurate PTSD diagnosis, prognosis, and clinical subtyping. The postdoctoral fellow will lead efforts to develop novel machine learning models for integrating omics datasets (e.g., genomic, transcriptomic, epigenomic, proteomic, metabolomic) with relevant molecular pathways to further improve these capabilities. The position offers outstanding opportunities for collaboration with members of the SBPBC and access to comprehensive high-dimensional molecular datasets for the development and application of cuttingedge machine learning methods. We seek highly motivated candidates with the ability to work both independently and in a collaborative environment. The position offers a competitive salary plus benefits for an initial appointment of 12 months, with the potential for extension contingent upon continued funding and satisfactory performance. Screening of applicants will begin June 5, 2025, but the position is open until filled. If interested, please click here for more information and to apply. #J-18808-Ljbffr
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San Francisco, United States Biostars Full timeJob: Postdoctoral Fellow in Machine Learning and Computational Biology, The University of Memphis A postdoctoral fellow position is available for an outstanding candidate interested in developing and applying state-of-the-art machine learning methods to multi-omics data to identify biomarkers for post-traumatic stress disorder (PTSD). The successful...
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South San Francisco, California, United States Roche Full time $110,000 - $120,000We advance science so that we all have more time with the people we love. A position is available for a postdoctoral fellow to join the Genentech Computational Sciences (gCS) organization which uses data, by developing best in class computational methods, and applying them to the most relevant scientific problems across all stages of the pipeline. This...
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San Francisco, CA, United States University of California, San Francisco Full timeCompany Description The University of California, San Francisco (UCSF) is dedicated to advancing health worldwide through innovative research, high-quality education, and exceptional patient care. UCSF is recognized for fostering collaboration among its renowned graduate schools, medical center, and research programs. The university is committed to...
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San Francisco, United States University of California, San Francisco Full timeCompany DescriptionThe University of California, San Francisco (UCSF) is dedicated to advancing health worldwide through innovative research, high-quality education, and exceptional patient care. UCSF is recognized for fostering collaboration among its renowned graduate schools, medical center, and research programs. The university is committed to...