40 image-coding-"UCL"-"UCL" Postdoctoral positions at Nature Careers in United States
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Postdoctoral Associate – Systems Neuroscience: In Vivo Imaging & Electrophysiology Location: Virginia Tech, Fralin Biomedical Research Institute at VTC (Roanoke, Virginia, USA) Lab: Shin Lab | Lab
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-resolution in vivo imaging A collaborative, interdisciplinary environment in the Department of Pathology and Laboratory Medicine Active, well-funded projects addressing critical gaps in neurovascular research
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deformation transients framing local moderate (and large) earthquakes in amphibious environments using fiber optics, and (iii) imaging potential fault structures crossed by the fibers. The project will benefit
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of starting materials Conduct laboratory deformation tests using high-temperature apparatus High-resolution quantitative imaging (SEM, TEM) of deformed products Prepare and present findings of research
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. The lab is well-equipped: BioRad ChemiDoc MP gel imager, SpectraMax iD3 microplate reader, Dynamic light scattering instrument, Waters HPLC-MS, Waters prep-HPLC, ÄKTA oligonucleotide synthesizer, CLASS II
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functional imaging. Applicants should have a Ph.D. and/or M.D. and be creative and highly motivated. A strong background in mouse neural circuit manipulations and electrophysiology is desirable. For more
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: 34810257; PNAS (2023), PMID: 38048463; Nature Communications (2024), PMID: 38773107). Planned projects use a combination of advanced approaches, including molecular genetics, live cell imaging
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with skills in computation and image processing is highly desired. Excellent communication skills and an ability to work across platforms in a collaborative style are desired. St. Jude is an Equal
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. The successful candidate will collect electrophysiology and imaging data and analyze neuronal activity and behavior to better understand how neural circuits control behavioral performance. Applicants should have a
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-culture system to study disease. By integrating single-cell multiomics, spatial transcriptomics, long-read sequencing, and high-throughput functional imaging, we aim to identify disease-relevant phenotypes