45 data-"https:" "https:" "https:" "https:" "https:" "https:" "SciLifeLab" "IFM" "IFM" Postdoctoral positions at University of Maryland, Baltimore
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quantification of neurotransmitters and bioenergetics. Key functions include MRS/neuroimaging methodology, applications, data processing, statistical analysis, and manuscript write-up. Qualifications
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to Thomas Ernst, Ph.D. (ternst@som.umaryland.edu ) with a cover letter highlighting key qualifications and experience, current CV and contact information for three referees. Qualifications The position
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imbalanced cross-sectional imaging data are especially well-suited for the position . The postdoctoral researchers will develop algorithms for deployment at our prestigious R Adams Cowley Shock Trauma Center
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for preclinical imaging with opportunity to gain a variety of translational research skills, including advanced image processing, data analysis, and novel imaging techniques, such as MRguided Focus Ultrasound
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well as data analysis, interpretation as well as drafting manuscripts. The candidate is also expected to assist in data management. The candidate must also possess strong communication and organizational skills
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research and experience in endothelial cell biology is a plus. If interested please email a CV, a short statement of research interests, and the names and contact information for three references to: Dr
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the central nervous system to maintain whole-body thermogenesis, energy balance, and metabolic health. Additional information on our research projects can be found in our publications, including Cell Metabolism
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to work independently is essential. Salary commensurate with experience. To apply for this position or to seek additional information, please contact Dr Marcela Pasetti by e-mail: mpasetti@som.umaryland.edu
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, background, and qualifications, and a list of three references (including contact information) to Vikas Kundra, M.D., Ph.D. vkundra@som.umaryland.edu The position is subject to a background check
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scientific research involving human cell lines, mouse models, and clinical samples. Interested candidates should email CV and contact information for three references to Valeria R. Mas, MS, PhD, FAST Professor