13 post-doc-in-wireless-communication-and-networks-2016 Postdoctoral research jobs at University of South Florida
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with a commitment to excellence, a strong multicultural orientation, and who would enhance the diversity and resources of our staff. DUTIES: Post-doctoral fellows directly serve the USF community through
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with a commitment to excellence, a strong multicultural orientation, and who would enhance the diversity and resources of our staff. DUTIES: Post-doctoral fellows directly serve the USF community through
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-mediated ecosystem services in complex and simplified agricultural landscapes, using coffee agroecosystems as model systems. Our lab uses a complex network of interactions that involve the community
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Salary/Salary Range: Based on Post Doc career level ORGANIZATIONAL SUMMARY: USF Health's mission is to envision and implement the future of health. It is the partnership of the University of South Florida
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experience is required, including blood sampling, post-mortem tissue isolation and compound administration by a garage, I.P. I.M, and I.V. injection, mouse husbandry, and animal microsurgeries. The candidate
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Department: Child & Family Studies, Florida Center for Inclusive Communities / 0-5830-002 College: College of Behavioral & Community Sciences Salary Plan: Temporary Hiring Salary/Salary Range
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including, PTSD and Alzheimer’s disease. We are looking for an ambitious post-doctoral candidate. Skill sets that we are particularly interested in are: 1) molecular chaperone biology, 2) mouse models, and 3
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): Minimum Qualifications: Applicants must hold a Ph.D. or MD. Ph.D. in a related field from an accredited institution. Must meet university criteria for appointment at the rank of Postdoctoral Fellow
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of education and practice in pharmacy; and through delivering the highest quality care in diverse, interprofessional clinical and community settings. Job Summary: Post-doctoral position is available in the Dr
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position is available for a highly motivated candidate to study bio-acoustic signals such as voice, speech and respiratory sounds using machine learning and data visualization methods. The individual