464 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of St" "St" "St" research jobs at Nature Careers
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interests in applied statistics, machine learning, or computational biology are encouraged to apply. For more information, please visit our website https://ds.dfci.harvard.edu/postdocs to view the list
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Job Description A fully funded postdoctoral position is immediately available Mark Hatley's laboratory in the Molecular Oncology Division of the Department of Oncology at St. Jude Children's
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The Hillman Lab, within the newly formed Department of Imaging Sciences at St Jude Children's Research Hospital is seeking motivated post-doctoral scientists and engineers interested in
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We are looking for a highly motivated postdoctoral researcher to join our lab of neuroepigenetics at EPFL (http://graefflab.epfl.ch/) ! The focus of the lab are the epigenetic underpinnings
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contact information of three professional references. Please address your cover letter to Dr. Peter McKinnon : Member, St. Jude Faculty / Director, Center for Pediatric Neurological Disease Research St
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requirements will be met A graduate transcript St. Jude is a recognized APPIC member ( www.appic.org ). We will be participating in the Common Hold Date. For more information about the Department of Psychology
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biology and publication records (minimum of one-first author publication in a peer-reviewed journal) are encouraged to apply for the open position ( https://talent.stjude.org/postdoc/jobs/JR1859 ). St. Jude
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role Conduct research on data quality and long-term reliability in smart sensor systems for industrial monitoring Develop methods, models, and computational tools for sensor data validation, anomaly
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(http://www.hogberglab.net/ ). You will contribute to the Dura-store project that is a part of the European Innovation Council’s Pathfinder Challenge for DNA-based digital data storage, aiming to use bio
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and sequence-based mechanisms of gene regulation. Current projects focus on deciphering the regulatory landscape of the human genome by integrating AI-driven enhancer modeling with GWAS data and