48 application-programming-android-"the" Fellowship positions at University of Michigan
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uniquely involves both wet lab and dry lab applications with the aim of improving the understanding of and care for, people living with these diseases. The successful candidate will work as part of a dynamic
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. Our faculty, staff, and trainees conduct a diverse range of musculoskeletal research and scholarship. The department?s research program is integral to its mission and vision of leading advances in
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to BIFellowship@umich.edu by May 31, 2025. Selected applicants will be invited for interviews with the program Selection Committee. Notice of application decisions will be made in mid-June. Fellowships will begin
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interests and qualifications. Job Summary The Research Center for Group Dynamics (RCGD) in the Institute for Social Research (ISR) at the University of Michigan invites applications for a full-time position
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information for at least three professional references. Applications will be reviewed on a rolling basis until the position is filled. In addition to emailing Dr. Yadlapalli, interested candidates should also
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Apply Now How to Apply Interested applicants please submit (1) a letter of interest; (2) personal statement regarding research interests, career goals, and experience; (3) a curriculum vita; (4) a
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at the University of Michigan in Ann Arbor, Michigan, USA. Applicants will work with MIITT department faculty to complete translational MRI research studies. The research fellow will collaborate with faculty and
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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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molecular analyses to animal models to human applications. More information about the Kaczorowski lab can be found at http://kaczorowski.lab.medicine.umich.edu Mission Statement Michigan Medicine improves
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communication skills. Experience in coding with Python, MATLAB, Julia, C/C++, or a similar program language. Experience with biological data analysis. Knowledge of network science and/or complexity sciences