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imaging, and image analysis. ● Coordinate with collaborating laboratories and harmonize protocols. Data Analysis and Reporting: ● Analyze experimental data using statistical and bioinformatic
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Posting Details Position Information Fiscal Year 2026-2027 Position Title Postdoctoral Associate Classification Title Postdoctoral Associate Department Pharmaceutical Sciences Posting Number P260155
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stain electron microscopy, and enzymatic activity assays. For more information about the Gunn lab’s research and environment, please visit the hyperlink. The ideal candidate will demonstrate excellence
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, plan and conduct research experiments. ● Collect and analyze data, including periodical/literature search and utilizing specialized skills in related field to analyze the collected data
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distributed decision-making. Applicants must have a PhD in Electrical Engineering, Mechanical Engineering, Computer Engineering, Applied Mathematics, Mathematics, or a closely related discipline, and are within
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Alzheimer's disease and related dementias. The Postdoctoral Associate will primarily be responsible for image data analysis including PET pharmacokinetic modeling, developing novel data analysis methods
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Associate Research Scientist / Post-Doctoral Associate in the Division of Science (Computer Science)
29 Jul 2026 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Application
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in patients with Alzheimer’s disease and related dementias. The Postdoctoral Associate will primarily be responsible for image data analysis including PET pharmacokinetic modeling, developing novel
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validation of processes of utility. Anticipated Division of Time Design and conduct experiments to produce extruded products with desirable characteristics (30%) Collect, analyze and evaluate data, using
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in patients with Alzheimer’s disease and related dementias. The Postdoctoral Associate will primarily be responsible for image data analysis including PET pharmacokinetic modeling, developing novel