41 parallel-programming "https:" "IMOST UMR 1240 INSERM" Fellowship research jobs at University of Michigan
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multidisciplinary team focused on accelerating drug discovery with data-rich and automated chemical methods for ecosystem health. See https://www.youtube.com/watch?v=W4HxzWaK1Vo . We are a medicinal chemistry lab
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Apply Now How to Apply Please apply via this Submission Form by copying address into your browser: https://forms.gle/w6xrkTy6Dz6E6xk38 In addition, please add your application materials by
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to animal models to human applications. More information about the Kaczorowski lab can be found at http://kaczorowski.lab.medicine.umich.edu or on Twitter @KaczorowskiLab. Responsibilities* The successful
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to deepen understanding of disability-related experiences, strengthen existing support programs, and pilot cutting-edge models that promote equitable workplace environments. The Postdoctoral Fellow will be
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with dignity, and seek scientific truth at all times. Lab website: https://sites.google.com/umich.edu/schuler-group/home Mission Statement Michigan Medicine improves the health of patients, populations
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Fellows may join existing QRI research programs or launch new directions across the QISET landscape. QRI hosts 23 University of Michigan faculty members serving as Fellow Mentors and leading advances in
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modeling, or formal language theory Excellent programming and data analysis skills (Python required; familiarity with PyTorch and Hugging Face strongly preferred) Strong communication and collaboration
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the Pereira laboratory: https://www.lsi.umich.edu/science/our-labs/filipa-pereira-lab Responsibilities* Experimental responsibilities will include: Perform genome engineering of Streptomyces strains
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Fellows may join existing QRI research programs or launch new directions across the QISET landscape. QRI hosts 23 University of Michigan faculty members serving as Fellow Mentors and leading advances in
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computational modeling, which is a collaboration between Dr. Brennan, and Dr. Edith Kaan at the University of Florida. The project description is available at: https://www.nsf.gov/awardsearch/showAward?AWD_ID