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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
related to the cannabinoid and neuroHIV fields, including behavioral pharmacology studies, in vivo calcium imaging studies, as well as studies that focus on harvesting of CNS tissue, and
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during pathological conditions. 2. Neonatal seizures and epilepsy 3. GABAA receptor physiology. We approach these research areas with electrophysiological and imaging. The Postdoctoral researcher will be
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the Neurocritical care unit and austere environments including space flight. The current project will require the candidate to obtain several ultrasound images, measure, and categorize them with opportunities to be
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the Neurocritical care unit and austere environments including space flight. The current project will require the candidate to obtain several ultrasound images, measure, and categorize them with opportunities to be
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Chair of Biological Imaging 07.08.2025, Wissenschaftliches Personal We are now looking for a highly qualified and motivated researcher with an engineering or physics background (f/m/x) and a
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. Proficiency in geospatial, 3D, and image-processing software for data collection and analysis. Experience working with GIS, QField, total stations, geophysical equipment, and drones. Experience in stratigraphic
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communication skills and a collaborative mindset Full professional proficiency in English Good to have: Hands on experience with at least one paradigm for quantum optimization with quantum computing (QAOA
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Date 07/28/2025 Requisition Number PRN42659B Job Title Post Doc Res Assoc Working Title Post Doc Res Assoc Job Grade A00 FLSA Code Administrative Patient Sensitive Job Code? No Standard Hours per Week 40
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, hiPSCs culture and phenotyping assays, histopathology and confocal imaging, protein-protein interaction assays, CHIP, CLIP, and CHIRP assays. Animal (mouse) breading, handling, injection methods
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- and time-specific innervation that extends into adolescence. Our lab has used whole-brain tissue clearing, light-sheet imaging, and machine learning to map the spatial and temporal dynamics of serotonin