10 programming-"the"-"DAAD"-"IMPRS-ML"-"U"-"Durham-University"-"U.S" Postdoctoral positions at University of Virginia
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require traveling some distance to attend meetings, and programs. The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and
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acquisition and reconstruction—particularly diffusion or dynamic imaging—is highly desirable, along with strong programming abilities in languages such as Python or MATLAB. Experience with pulse sequence
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Interventions Team: Collaborative Research on Engagement and Wellbeing (PIT-CREW), which conducts research related to promoting effective youth development, intervention, and programming, including preventing
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recruitment and buy-in, CARE program implementation and fidelity of implementation monitoring, and data analysis and manuscript generation. This position will complete duties as follows: Recruiting: Reaching
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applicants interested in developing a research program in the field of cancer biology are welcomed to apply. Expertise in the fields of molecular biology, cell biology, and genetics are expected. Experienced
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meetings, and programs. Anticipated Hiring Range: $58,000 to $65,000 (commensurate with qualifications). For more information on the benefits available to postdoctoral associates at UVA, visit
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: None PHYSICAL DEMANDS This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs
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and dissolved-phase 129Xe data. Experience in pulse sequence programming on Siemens MR scanners is highly desirable but not required. Additional expertise in using animal models with MRI is highly
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also perform studies needed to advance the missions of our research program. This is a leadership position within the lab, and the successful candidate will serve as the principal investigator's
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data issues. Utilizing machine learning techniques as appropriate for data analysis. Developing computing programs and software to support research initiatives. Applying new methodologies to real-world