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Computer Engineering, or a closely related field. ● Proficiency in MATLAB or Python. ● Prior experience with Neuroimaging analysis (using FSL, AFNI, SPM, etc.) ● At least one journal
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
Proposed Start Date 03/16/2026 Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education leader in innovative teaching, research and public service
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addition to pursuing their own research agenda, we seek applicants with experience in survey design and computational methods, and working with complex large-scale data. Successful candidates will have completed a Ph.D
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are in compliance with the necessary trainings (both at the lab and at the institutional level). Minimum Education and Experience: A PhD degree in Computer Science, Electrical/Computer Engineering, or a
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conditions. 2. Must be able to work at a computer for extended periods for data analysis, and manuscript preparation. 3. May require routine work with biological samples, including recombinant proteins and
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of 3D+ structure, heterogeneity, and/or dynamics from scattering and/or microscopy data; (2) autonomous analysis and decision making for self-driving and/or human-in-the-loop experiments; (3) computer
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artificial intelligence with a preferred focus on computer vision and medical image analysis. Preferred Qualifications: PhD in Medical Physics, Bioengineering, Biomedical Engineering, Physics, Computer Science
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program in ML / AI at the speed of wireless in Dr. Robert Calderbank’s research group. The successful candidate will conduct numerical simulations, develop and implement computational methods to interpret
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impacting Staphylococcus aureus biology and pathogenesis using in vitro and in vivo models. * Document data generated in studies, analyze data with appropriate statistical methods, prepare manuscripts
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. Teamwork: Ability to work collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications