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to the body of knowledge by enhancing the safety, relia- bility, and efficiency of automated vehicles by developing a collaborative multimodal perception system. This system leverages data from multiple sources
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from physical constraints and evolutionary pressures, across multiple scales — from proteins to regulatory networks. The group combines principles from statistical physics, systems biology, and
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is possible in collaboration with other members of the lab. Desired (but not absolutely required) skills: programming in python, machine learning, and experience in protein structure analysis. Required
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multiple research and innovation areas. Contribute to joint research outputs and innovation prototypes that integrate results from different streams. Apply for grant applications that lie in the center’s
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language for scientific computing (C/C++, Matlab, Fortran, Python, Julia, …) Good communication skills and willingness to work in collaborative projects with multiple partners and present results
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/C++, Matlab, Fortran, Python, Julia, …) Good communication skills and willingness to work in collaborative projects with multiple partners and present results at conferences, project meetings and
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University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Health Integrated Practice, Duke Primary Care, Duke Home Care and Hospice, Duke Health and Wellness, and multiple affiliations. Summary
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scientific computing. You are proficient in several languages (Python, C/C++, or Fortran), with extensive knowledge in AI/ML and parallel programming (GPU, multi-threading, etc.). You have strong software
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linear algebra; Excellent programming skills, preferably in Python. Experience with AI/HPC supercomputing and running software on scale. You are highly motivated, independent, and creative. Strong
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, natural language processing is a plus. Solid mathematics foundations, especially statistics, calculus and linear algebra; Excellent programming skills, preferably in Python. Experience with AI/HPC