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a postdoctoral scholar in computational biology. The PI, Dr. Lixing Yang is an Associate Professor at the Ben May Department for Cancer Research and the Department of Human Genetics. To learn more
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mouse models is required. Experience in bone and liver biology or willingness to develop an interest in inter-organ crosstalk are preferred. Required skills: Basic computer skills and proficiency with
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Senior Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) ● Doctoral Degree (or foreign equivalent) in Physics, Computer Science, Computational Neuroscience
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 7 days ago
publication record in biomolecular modeling and computational biophysics/chemistry. Programming skills (e.g., bash scripting, python, Fortran, C++ and CUDA), expertise in computational modeling (such as
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research facilities, and high-performance computing resources. Education Requirement: - MBBS, MBBCh, MS, MD, PhD, or MD/PhD in Radiology, Medical Physics, Biomedical Engineering, Computer Science, or a
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 25 days ago
/Administrative Internal Number: 25565 POSTDOCTORAL ASSOCIATE, McGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, to develop computational circuit models, analytical theory, and
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-related studies, a robust health informatics core, expertise in technology-based and EHR integrated assessment and intervention tools for symptom and toxicities management, health disparities, sociocultural
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a B.Sc. in Science, Engineering, Physics, Computer Science or a related field with a focus on medical imaging. It is essential that applicants have excellent interpersonal skills, oral and written
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Chemistry, Computational Sciences, Computational Biology, Structural Biology, Computer Science, Bioinformatics, Statistics, or related disciplines. May also include Ph.D. in Biology or Biomedical Sciences in
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, statistics, physics, computer science, or related disciplines. Strong background and experience in mathematical and computational modeling of infectious disease dynamics, preferably with applications