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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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University is a public research university in North Carolina. Existing faculty in the Department of Coastal Studies have expertise in Geography, Ecology, Coastal Engineering, Geology, Physical Oceanography
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engineering team to translate the models into production. The successful candidate will be part of a cross-lab, highly inter-disciplinary team of experts in ML, applied math, HPC, signal processing
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optimization of optical imaging hardware, develop data acquisition software and algorithms for data processing, as well as perform phantom and human clinical studies. This candidate is expected to co-supervise
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, functional genomics, and mouse engineering approaches to understand how cancer cells communicate with their neighbors, or the stromal cells, in the metastatic cascade. Our lab also applies biostatistics
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fields include (but are not limited to) Computer Science, statistics, mathematics, automation, informatics, and Engineering. • Experience in deep learning, machine learning and medical imaging processing
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research findings via paper publications and external presentations. Required Knowledge, Skills, and Abilities: You have a Ph.D. in a relevant discipline (Materials Science, Physics, Electrical Engineering
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date: Flexible. Candidates must have a PhD or an equivalent experience in bio/audio engineering, neuroscience, or a related area. Key requirements are experience with electrophysiological recordings
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, biomedical engineering, computer science, neuroscience or similar field Experience acquiring and analyzing magnetic resonance spectra or images Track record of scientific publications Preferred: Experience in
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aerospace research. 3. Perform complex techniques or procedures including but not limited to: a. Utilizing confocal, fluorescence and live microscopy to image tissue and cells. b. ELISA, mass spectrometry