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Field
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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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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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brain evolution. We employ a multifaceted strategy to bridge developmental neurobiology, RNA biology, and evolution. Learn more about our interests, motivations and discoveries: https://sites.duke.edu
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Research Centre. Mōu | Who You Are To be successful in this position, ideally you will have: A PhD in Computer Science or a closely related field Expert knowledge of deep learning, large language models
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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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The successful candidate will have completed a PhD in chemistry education or related field (ABD will be considered), and will be performing research in line with the PI's research program. The postdoctoral scholar
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research conferences and for manuscript preparation; use graphics and statistical software to analyze and present data; search pertinent scientific literature as needed. Supervise other personnel in
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, Center for Neurobehavioral Development, Translational Neuroscience, Neuromodulation, TeleOutreach, Community Engagement and Education, and Clinic-Research Integration. Meghan Swanson, PhD and Jed Elison
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
developing software and analytic tools to perform disease modeling and critical analytics in response to infectious disease outbreaks. ACCIDDA is part of the newly formed CDC-funded national network of centers
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conferences. Qualifications: PhD in computer science with file systems, GPU architecture experience. Proven ability to articulate research work and findings in peer-reviewed proceedings. Knowledge of systems