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possess strong communication and organizational skills. Qualifications a..Qualifications A PhD in Computer Science or Electrical Engineering with biomedical data analysis emphasis or related fields is
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characteristic protected by law or policy. Qualifications Potential candidates must be self-motivated, have an MD, DVM and/or PhD degree, and an interest in dedicating at least three years to this post-doctoral
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attending classes, as University policy allows. Required Qualifications: The NIH requires that candidates must have a PhD or MD (JD or Master’s degree only not accepted) prior to starting the fellowship, and
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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
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
to three-year curriculum includes coursework leading to an MPH or PhD degree in UNC’s School of Public Health, extensive hands-on research involvement, a weekly fellows’ seminar covering research methods
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cooperation with the other scientists is a prerequisite. Your profile: You have a PhD, work experience and several publications in the field of solid oxide cells. In addition, fluent written and spoken English
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group A14, 100% Lateral leadership of a dynamic and committed team of approx. 10 PhD students Fixed-term full-time position for 3 years with option to extend Innovative research area with high societal
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
Postdoctoral Benefits and Services click here Quick Link https://unc.peopleadmin.com/postings/228158 Posting Contact Information Department Contact Name and Title Kim L. R. Brouwer, PharmD, PhD, Distinguished
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primary cell bank to aid our investigations of the cellular and molecular mechanisms that mediate thoracic aortic aneurysm. The prospective candidate should have a PhD in vascular biology, or similar
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QUALIFICATIONS: PhD in computer science, electrical/biomedical engineering, statistics, applied mathematics, or a related field. Strong track record in machine learning/deep learning with imaging data