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Field
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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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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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; keep a detailed notebook summarizing experiments and recording research data; maintain computer database of research data; tabulate and display data for presentation in research conferences and for
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platform-specific physics knowledge, be it in ultracold neutral atoms, trapped ions or superconducting qubits. This may also involve investigation of the decoherence processes and related question
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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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. Experience with data prediction and classification techniques. Computer Skills: Good proficiency with optimization tools (CPLEX, SAP). Experience with data analysis software. Soft Skills: Analytical mindset
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embracing neurodiversity ● Skillful with computer software and statistical analysis on PC or Mac ● Must pass all criminal background checks as required by the State of Minnesota Preferred ● Demonstrable
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, and analyze research data; keep a detailed notebook summarizing experiments and recording research data; Maintain a computer database of research data; tabulate and display data for presentation in
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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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Lab researches on a variety of computer systems topics including HPC resilience, data center power management, large-scale job scheduling and performance tuning, parallel storage systems and scientific