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interested in computational work, the Postgraduate Associate will train in developing new computational tools and techniques to advance our understanding of the human genome and its role in disease and
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, and laboratory management in support of ongoing basic and translational research projects under the direction of the Principal Investigator (PI) and research program leadership. The individual will
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the Nuclear Medicine Section. Academic rank will be commensurate with experience and qualifications. The successful candidate will join a dynamic and expanding nuclear medicine program and will play an integral
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appointment is for one year, with anticipated renewal for a second year based on performance and funding. Applicants should be able to commit to at least two years of research training. Compensation The current
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one opening available. We seek applicants whose research program has made, or shows promise to make, breakthroughs in our understanding of fundamental processes in neuroscience via the implementation
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Department of Radiology & Biomedical Imaging is looking for radiologists in all specialty areas who excel in high quality clinical imaging interpretation, targeting community and tertiary care patient needs
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the selected candidate the unique opportunity to work with several program areas, collaborate on projects, and to participate in a challenging and rewarding work environment. A flexible program will be developed
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contribute to neurological disorders and cancer. Candidates eager to learn and integrate cellular models with next-generating sequencing techniques, and computational biology are strongly encouraged to apply
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quality or computational modeling and environmental data science. Candidates who can establish strong collaborations, both within the department and across the university are especially encouraged to apply
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University and the federal government that pertain to research studies. 2. Responsible for reviewing, planning, and implementing study protocols and assessing the impact of program changes on research quality