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Field
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support and approve time for assigned staff Collaborate with the Communication teams to maintain and update website content Set program priorities and performance benchmarks; assess and report on
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coding in R, Matlab and/or Python, and already adapt to using the UNIX command line and executing analyses using high performance computing cluster. Preferred qualifications: Prior experience in analyzing
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-of-use water filter during use. Methods are expected to use LC-MS/MS and GC-MS workflow. These methods would be applied for laboratory testing and in a pilot testing program. Job Description Primary Duties
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for assisting with the development of the program and in the training and engagement of UAMS postdocs. He/she will work with UAMS postdocs and other stakeholders within the division, university and external
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evaluate machine learning approaches for predicting clinically successful drug targets. For this work, the postdoc will have access to a large high-performance compute cluster and to AbbVie's cutting-edge
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Alliance for Clinical and Translational Medicine (ACTS) to the Princeton faculty and trainees (postdocs or graduate students funded by the grant). Maintain records of the faculty participants (Academy
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opportunities to work with leading experts, including: Wei Jin (Computer Science) Ben Lopman (Epidemiology) Katia Koelle (Biology/Virology) Postdocs will be supported in professional development, including
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opportunities to complete a scholarly project, deliver presentations, and engage in program development. Additional details about the program can be found at: https://www.mcw.edu/departments/pediatrics/divisions
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Classification Title: Postdoc Aso Classification Minimum Requirements: The appointee shall have received the doctorate in a field appropriate to the assigned duties and responsibilities. Job
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SPECIFICS Research Assistant Professor Position - Transformative and High-Performance Concrete Department of Civil and Environmental Engineering The Pennsylvania State University The Department of Civil and