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: Candidate must have a strong quantitative background, with a PhD in computational biology, bioinformatics, biomedical data science, biomedical engineering, computer science, electrical engineering, statistics
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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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Computer Science and Electrical and Computer Engineering departments, and the School of Medicine. The group emphasizes collaborative and multidisciplinary work and brings together expertise from machine learning
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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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. The Center also houses dedicated research laboratories equipped for medical imaging analysis/morphometrics, forensic anthropology, thermoregulatory studies (environmental chamber), histology, and
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Education and Experience The candidate must hold a PhD or MD degree. Must have relevant background in Biological/Biomedical Sciences or related Engineering field with a specific focus in cardiology
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opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: PhD in mechanical engineering, civil engineering, materials science
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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