101 assistant-professor-and-computer-human Postdoctoral positions at University of Washington
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collaboration with Dan Eisenberg, Associate Professor of Anthropology. Ideal applicants will have broad interests in the evolutionary biology of living humans and/or non-human primates. Job duties will be adapted
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, and natural beauty. The Department of Biomedical Informatics and Medical Education provides training, research, and service in education and informatics across the breadth of health sciences and health
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is within the Department of Radiology, which currently ranks the third-highest NIH-funded among the Radiology Departments in the US. The position will work under Dr. Ganesh Chand, Assistant Professor
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will work under the supervision of and in collaboration with Dan Eisenberg, Associate Professor of Anthropology. Ideal applicants will have broad interests in the evolutionary biology of living humans
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conditions, and brain tissue microstructure and functioning. The successful candidate will be working within a multi-disciplinary team of MRI physicists, computer scientists, radiologists, neuroscientists, and
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periodontics, orthodontics, and oral medicine. OHS also sponsors the School of Dentistry’s only PhD program as well as the combined DDS-PhD program and the Masters of Science program for Dental Hygiene. Our
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periodontics, orthodontics, and oral medicine. OHS also sponsors the School of Dentistry’s only PhD program as well as the combined DDS-PhD program and the Masters of Science program for Dental Hygiene. Our
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Position Overview School / Campus / College: School of Medicine Organization: Biomedical Informatics and Medical Education Title: Postdoctoral Scholar, Luo Lab - Biomedical and Health Informatics
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statement of research interests, and contact information for three referees. For questions please email: Dan Zhu, PhD, Research Assistant Professor of Radiology, Assistant Director of MRI Protocols for DISC
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about exploring and applying new statistical, computational, or machine learning techniques to astronomical data sets, and extending current methodology to be applicable in the era of big data. Looking