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of degree equivalency. Preferred Qualifications: Background in medical imaging, imaging simulation, and machine learning. Programming in Python, MATLAB, C, CUDA. Other Requirements: This position is hybrid
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applicable University and Department of Surgery policies and procedures. Minimum Requirements: Ph.D. or equivalent doctorate (e.g. M.B.B.S., Sc.D., D.V.M.) This position is Onsite. The work is performed
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projects and coordinate with Principal Investigator and Program team to stay on budget and schedule to meet the milestones and deliverables. Follow standards of responsible conduct in research. Comply with
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. Occupational Summary Conduct independent research activities under the guidance of a faculty mentor in preparation for a full-time academic or research career. Job Description Applicants will be involved in
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programs with employer contributions, tuition assistance for employees and their children, and more. Screening of Applications: Screening continues until the position is filled. Anticipated Pay Range: Duke
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laboratory notebooks. Monitor progress of research projects and coordinate with Principal Investigator and Program team to stay on budget and schedule to meet the milestones and deliverables. Follow standards
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. Proficiency in at least one scientific programming language (e.g., Python, MATLAB, R, Julia). Demonstrated interest in biological applications, particularly immunology. Strong analytical and problem-solving
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studies (SQ and orthotopic xenografts) and tumor tissue analyses including immunohistochemistry and preparation for NGS · Application of statistically sound analyses · Participating in drafting of LOIs
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The Department of Biostatistics & Bioinformatics at Duke University invite applications for a postdoctoral associate position in mathematical modeling, as part of a new NIH-funded Center for Excellence in
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functions as a vaccine development biotechnology enterprise, embedded within a top university. As a trainee within our mentoring program, co-directed by Drs. Blasi and Williams, you will interact with highly