Sort by
Refine Your Search
-
one from your current graduate or clinical residency training program. Graduate-level academic transcripts (unofficial is acceptable) Two writing samples, preferably a copy of a previously published
-
, evidence-based care for musculoskeletal injuries and conditions. Our faculty, staff, and trainees conduct a diverse range of musculoskeletal research and scholarship. The department?s research program is
-
Apply Now Job Summary The Nucleic Acid Therapeutics Core is a newly initiated program at the University of Michigan to design and synthesize nucleic acid therapeutic molecules for early stage
-
. 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
-
your current graduate or clinical residency training program. Graduate-level academic transcripts (unofficial is acceptable) Two writing samples, preferably a copy of a previously published manuscript(s
-
through the National Heart, Lung and Blood Institute (NHLBI). This exciting program is designed to support research education for cardiac, thoracic, or general surgery residents. The program will offer
-
reflected on your resume. How will that contribute to your success in the BI Innovation Fellowship Program? iii) Outside the scope of your research where you had to problem-solve and demonstrate leadership
-
. Responsibilities* The successful candidate will be able to plan, develop, execute, and analyze an independent research project in the context of a supportive lab and institutional environment. In addition, they will
-
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
-
. Experience in coding with Python, MATLAB, Julia, C/C++, or a similar program language. Experience with biological data analysis or simulations of dynamics. Knowledge of network science and/or complexity