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Field
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degree at the time of hire in the field of Electrical Engineering and with expertise in applied electromagnetic and microwave imaging algorithm development. 3 years of experience in applied
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multidisciplinary, NIH-funded research program at the interface of molecular imaging, antibody engineering, cancer biology, drug development, and translational oncology. Our laboratory develops next-generation
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. Experience applying computer vision, image analysis, and/or machine-learning methods to microscopy or materials characterization data. Demonstrated ability to analyze microstructural data and relate
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National Aeronautics and Space Administration (NASA) | Huntsville, Alabama | United States | 19 days ago
optical coatings EUV/X-ray instrumentation Scientific detector development Scientific programming and numerical modeling Image processing or data analysis Laboratory instrumentation and experimental methods
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-affiliated with the Yale Stem Cell Center, the Department of Comparative Medicine, and the Department of Surgery, providing a highly collaborative and multidisciplinary ecosystem. The position is ideal
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, neuroscientists, and imaging specialists. Required Qualifications A Ph.D. in Physiology, Neuroscience, Cell Biology, Biomedical Engineering, Pharmacology, or a related discipline. A strong publication record in
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advancing new molecular imaging and therapeutic agents from bench discovery toward preclinical and clinical application. The laboratory is focused on novel agent development, in vitro and in vivo development
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Summary The Department of Neurosurgery at the University at Buffalo seeks a full-time Postdoctoral Associate to support an interdisciplinary research program focused on image-guided navigation
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-articular administration of hydrogel therapeutics, longitudinal monitoring of treatment response, collection and processing of biological samples, assessment of local and systemic inflammatory responses, and
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/Responsibilities: 75% Research Duties: Neural data collection, analysis; experimental and method development related to the use of Neuropixel recording probes in a preclinical paradigm. Analyze single and multi-unit