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data collection activities, ability and interest in working with large datasets, and interest in working with interdisciplinary teams of researchers. The expectation is that the scholar would help lead
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on eligibility) $7,500 Commitment Bonus for qualifying candidates! JOB LOCATION Growing Child Pediatrics - 1005 Big Oak Ct, Knightdale, NC JOB SUMMARY We are seeking a Medical Assistant, Certified (CMA/RMA) in our
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great opportunity for someone who enjoys problem‑solving, translating data into insights, and supporting strategic decision‑making across a large, mission‑driven institution. Minimum Requirements B.A
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computing, machine learning for hardware design, integrated circuit design, or hardware–software co-design. Experience with semiconductor design tools, circuit/system modeling, or large-scale hardware design projects
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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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transformer-based models for large-scale biological data. In this role, you will work closely with the Principal Investigator Dr. Wenpin Hou and her research team to develop computational models that analyze
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cooperative, collaborative manner. Strong written and oral communication skills. Strong clinical background and ability to digest large amounts of data and translate information into meaningful plans. Detailed
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to Kenneth Dodge before April 9, 2026, at dodge@duke.edu. Salary is commensurate with experience. Work Arrangement – Hybrid DEPARTMENTAL PREFERENCES Advanced data analysis skills, including management of large
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. Perform experiments using human cell culture and approaches in molecular genetics, biochemistry, genomics, epigenetics, and computational biology. Collect, document, organize, and analyze experimental data
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, bioinformatics, or a related discipline. The successful candidate will lead computational research projects applying advanced statistical, machine learning, and artificial intelligence approaches to large-scale