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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 22 days ago
one of the leading public research institutions in the country. UNC-Chapel Hill offers postdocs comprehensive medical and vision coverage , paid leave, and benefits and services that support
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internationally renowned program that provides comprehensive resources for the diagnosis and therapy of diseases of the digestive tract, pancreas and liver. There is no direct patient care and no patient contact
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: PhD Field: Biology, Genetics, Biochemistry, Chemistry, Computational Biology, Biochemical Sciences or related Why MCW? Outstanding Healthcare Coverage
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: Immunology, Biochemistry, Chemistry, Computational Biology, Biochemical Sciences or related Why MCW? Outstanding Healthcare Coverage, including but not limited to Health, Vision, and Dental. Along with
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computer vision projects Experience in software or webapp development/API integration Interest (but not necessarily expertise) in medicine and radiotherapy Required Application Materials: Curriculum vitae 2
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Qualifications: A PhD in condensed matter physics, material science, computational science, or a related field. Preferred Qualifications: Basic understanding of x-ray or neutron scattering is desirable but not
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, microbiology, molecular biology, database analysis and computational biology may be used to conduct the research. Job Description: Research Overview: Design and conduct experiments and interpret data under
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focus and interest. Fellows will work directly on research projects of CGNE-affiliated faculty, pursue independent research activities in line with their developing program of research, and engage in
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workflows in complex organizational settings. Qualifications: Applicants must have a PhD in Computer Science or related field. Experience in one or more ML domains, such as deep learning, reinforcement
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engineering, earth science, computer science, or related field required. A PhD specializing in glacier modeling, remote sensing, and/or statistics preferred. Python coding experience preferred. Strong