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Internal Number: 1149615 Position Summary This 2-year postdoctoral scholar position will be the primary researcher for the ethnographic fieldwork component of a multi-year, NSF-funded study examining how
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of existing AI/ML tools to assign structures to unidentified peaks in metabolomic datasets (e.g., https://www.nature.com/articles/s42256-021-00407-x ), and extending these tools or developing new models as
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study AI-supported learning environments Contribute to design-based and mixed-methods research, including qualitative and case-based studies Support pilot studies and early-stage project development (e.g
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Research Center for Molecular Medicine (CeMM), ÖAW | Vienna, Virginia | United States | about 2 months ago
functional approaches to map how leukemia-driving oncoproteins act in the context of phase-separated biomolecular condensates and how these structures regulate epigenetic states and cancer-associated gene
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the spatial aspects of socio-technical systems. Data science skills and an interest in spatial modeling are highly desirable. Experience with multi-disciplinary teams deploying mixed methods in complementary
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and oral communication skills Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork. Desired Skills: Experience with two-phase/multi-phase flows as evidenced by
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compatibility guidelines and biologically based pest management approaches aligned with New York State IPM priorities and the phase-out of neonicotinoid seed treatments. Anticipated Division of Time Experimental
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pest management (IPM), contributing to development of seed treatment compatibility guidelines and biologically based pest management approaches aligned with New York State IPM priorities and the phase
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multi-omic sequencing, network biology, and machine learning to identify actionable biomarkers and therapeutic vulnerabilities. The successful candidate will work at the interface of computational
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 7 days ago
and prevent posttraumatic neuropsychiatric sequelae (https://www.med.unc.edu/itr/). The Department of Psychiatry (https://www.med.unc.edu/psych/) in which the ITR resides provides an outstanding