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Field
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collaboratively in interdisciplinary teams. Preferred Qualifications - Experience with stakeholder engagement or extension programming. - Familiarity with statistical software (e.g., SPSS) and qualitative analysis
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manuscript preparation; use graphics and statistical software to analyze and present data; search pertinent scientific literature as needed. • Supervise other personnel in the laboratory; participate in
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spatial genomics experiments is a plus but not necessary. Experience in carrying out independent and collaborative research. Proven experience with protocol development, software development, computational
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
are of particular interest. The candidate will also develop or improve software for the analysis of these unique MRI data, such as object detection, motion correction, and denoising. These novel MRI tools will be
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of research achievements and publications in top-ranked journals. • Strong motivation, scientific curiosity, and commitment to scientific excellence. • Programming experience Python with good software
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designing innovative location-based software systems and developing cutting-edge, award-winning web and mobile applications – focused on applied innovations for Resilient Organizations. The LIL collaborates
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, the Postdoctoral Researcher will lead and assist with data modeling, AI/ML methods, software package development, scientific paper writing, and grant proposal writing. This position will work under the guidance
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contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. Communication: Strong and clear written and verbal communication
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information science research. *Experience with theoretical frameworks for quantum entanglement and decoherence. *Desired, though not mandatory, expertise in quantum platform software such as Qiskit or cuda-q
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interests relevant to perinatal or pharmacoepidemiology, are preferred. The position will require extensive experience with programming languages and statistical software packages, such as R or SAS