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Field
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. The applicant will join an NIH-funded lab to engage in basic and translational neuroscience research. The laboratory uses in vivo 2-photon imaging, electrophysiology and optogenetic approaches to better
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microscopy, planned experiments will include atomic-scale imaging, high energy-resolution electron energy-loss spectroscopy (EELS), 4D scanning transmission electron microscopy (STEM), and cryogenic microscopy
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. Sensing, Machine vision, image processing and data fusion. Inline manufacturing process monitoring and control. Major Duties/Responsibilities: Develop foundation AI models under various projects. Develop
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molecular biology and cell biology assays, immunochemistry, and cell culture Preferred Qualifications: Rodent handling experience Experience in flow cytometry and high-resolution imaging Experience in omics
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microscopy (SECCM) , a powerful electrochemical imaging technique for interrogating electrochemical processes at nanoscale sites of complex electrodes. We aim to expand the capability and applications
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will be accepted after 2025/05/15 11:59PM US Eastern Time. Position Description A postdoctoral associate position is available in the Bartesaghi Lab at Duke University to work in the development of image
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, mathematical approaches to signal analysis, information theory, structural biology and image processing. The term of appointment is based on rank. Positions at the postdoctoral rank are for one year with
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, or MATLAB) are required. Knowledge in one or more of the following areas is desirable: biomedical imaging, biomedical optics, computer vision, bioinformatics, single-cell profiling technologies, spatial omics
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normal and pathological feeding and reward processes. Applicant must hold a PhD or equivalent degree in neuroscience, biochemistry, molecular biology, psychology, computer science, biomedical engineering
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processes for data standardization, data warehousing, quality assurance development and data analysis. A successful candidate will work closely in different aspects of the quality assurance and data