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, optimization, and characterization integrating imaging, experimental metadata, and diffraction outcomes. Design and deploy computer vision methods to detect and track crystal growth. Develop closed-loop
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& Decision Neuroscience Lab (https://www.konovalab.com/ ) led by Dr. Anna Konova and located at the Rutgers Center for Advanced Human Brain Imaging Research (CAHBIR). The ADN Lab conducts decision neuroscience
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 15 days ago
Dependent on Qualifications Proposed Start Date 10/01/2026 Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education leader in innovative teaching, research and
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Medicine Postdoc Appointment Term: Fixed term for one year, with opportunity for renewal Appointment Start Date: September 2026 Group or Departmental Website: https://med.stanford.edu/neonatology.html(link
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
Start Date Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education leader in innovative teaching, research and public service, the University of North
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the start-up ColibriTD (https://www.colibritd.com/ ) and the DiTeQ team (ICB, UMR 6303), we are recruiting a postdoctoral researcher to work on solving partial differential equations using quantum approaches
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: Radiology, RSL Bioengineering Postdoc Appointment Term: 1-year with possible extension to two or more Appointment Start Date: 9/1/2026 Group or Departmental Website: https://med.stanford.edu/cmrgroup.html
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chain, ranging from synthesis, cell assembly, characterization, modeling to scaled-up manufacturing. The 2-year postdoctoral project Machine Learning-based Electro-Chemo-Mechanical Estimation and Control
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10 Jul 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Civil engineering Engineering » Computer engineering Researcher Profile
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traditional paradigms by: ●Measuring attention and gaze in naturalistic, dynamic environments rather than simplified laboratory settings ●Developing scalable computer vision methods to track gaze and behavior