661 computer-programmer-"https:"-"Inserm"-"https:"-"https:"-"https:"-"U.S" Postdoctoral positions in United States
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for part-time positions are pro-rated accordingly. The University also offers a comprehensive benefit program to eligible employees. Please see this link for more information.
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to 8 hours/day, lifting <30 lbs, may view computer up to 8 hours/day. Shift Generally Monday – Friday, 8a-5p with some flexibility Job Summary This position is designed to have 70% clinical time, 15
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and great opportunity of interdisciplinary training in machine learning and functional genomics. The project combines cutting-edge computational approaches, especially state-of-the-art machine learning
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research. The ideal fellow will be interested in developing and applying novel computational algorithms to novel datasets generated in the setting of non-neoplastic and neoplastic disease. Key
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platform for launching an independent academic career focused on AI and the future of scientific practice. Responsibilities Build and maintain computational data pipelines to collect and structure evidence
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to treatment. We are seeking highly motivated individuals to develop and implement innovative computational approaches for analyzing high throughput genomic and epigenomic data, including but not
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with the PI and other group members. Refines their independent project, and be responsible for analytic design and carrying out computational/bioinformatic strategies. Takes lead in writing scientific
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University (University Park). The project is funded by the Eunice Kennedy Shriver National Institute of Child Health and Human Development, through program PAR-20-299 (Translational Research in Maternal and
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may include teaching responsibilities. The appointment is generally preparatory for a full time academic or research career. The appointment is not part of a clinical training program, unless research
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. The scholar will perform computational and laboratory-based research to investigate viral deactivation under varying environmental conditions. This position will contribute to data analysis, experimental design