42 image-processing-and-machine-learning "UCL" Postdoctoral research jobs at Virginia Tech
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fundamental discoveries (e.g. how thalamocortical interactions implement attentional control and task switching), we aim to understand these processes well enough to develop targeted, precision treatments
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animal surgery and brain tissue processing, flow cytometry, RNA expression analysis, stereology and confocal imaging. Preferred Qualifications - Experience with qPCR, Western blot analysis, single cell
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animal surgery and brain tissue processing, flow cytometry, RNA expression analysis, stereology and confocal imaging. Preferred Qualifications - Experience with qPCR, Western blot analysis, single cell
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animal surgery and brain tissue processing, flow cytometry, RNA expression analysis, stereology and confocal imaging. Preferred Qualifications - Experience with qPCR, Western blot analysis, single cell
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Job Description Applications are invited for a full-time Postdoctoral Research Associate position within the Bradley Department of Electrical and Computer Engineering, Wireless@Virginia Tech
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that transforms current AI for Science paradigms focusing on multidisciplinary applications in biomolecular modeling and design, leading to a step-change in Scientific Machine Learning (SciML). They will be
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eligibility remaining. • Experience in electrophysiology or calcium imaging and the associated analysis • Experience using a microscope such as confocal or two-photon scopes • Demonstrated research productivity
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that can be repurposed for viruses with pandemic potential. This includes working closely with computer scientists to utilize published “omics” datasets and machine learning approaches to identify FDA
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Sciences, Geodesy, Physics, Mathematics, Computer Sciences, Civil & Environmental Engineering, or a related field. PhD awarded no more than four years prior to the effective date of appointment with a
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systems. • Develop and implement predictive models for packaging performance using machine learning approaches and physics-based simulations. • Investigate logistics optimization strategies for packaging