48 3-phd-positions-in-computer-science-artificial-intelligence Fellowship positions at University of Michigan
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contribution to society. Required Qualifications* PhD in computer science, computational biology, or related quantitative fields. Strong oral and written communication skills Desired Qualifications* Generative
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Qualifications* PhD Degree in Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, or a related field Familiarity with (biomedical) signal processing Experience working with clinical data
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the position and outline skills and experience that directly relate to this position. Please also include the names and contact information for three references. Preference may be given to applications received
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* Qualified applicants must have a PhD degree in biology, Life Sciences, Chemistry, Biomedical Engineering, or a related field. They should also have at least 5 years of experience conducting laboratory-based
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on December 14, 2025. All applicants are required to submit the following: A brief cover letter (max two pages) that includes a summary of the applicant's PhD research and career goals and outlines how an Erb
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Apply Now How to Apply Application Includes: CV Research statement (250-500 words) Statement of professional goals (250-500 words) Contact information of 3 professional references Job Summary The
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research that together enhance our contribution to society. Required Qualifications* PhD in computer science, engineering, applied mathematics, statistical physics, biology, or a related field. Reasonable
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Apply Now Job Summary A postdoctoral research fellow position is open in the newly formed Michigan Institute for Imaging Technology and Translation (MIITT) in the Department of Radiology
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. This is an advanced clinical training program beginning February 3, 2026, and ending February 2, 2027, with an opportunity to extend for a second year. The mission of this Post-MSW graduate training program
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: Completed a doctoral degree program (MD, PhD, DrPH, EdD, or equivalent) by the starting date. Demonstrated commitment and interest in opioid-related and pain research. Research experience within a relevant