110 computational-complexity-"Prof"-"Prof" Postdoctoral positions at Rutgers University
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, computer science, biomedical engineering, biology, or other biomedical discipline. Previous research using 2-photon imaging, slice electrophysiology, optogenetics, rodent behavioral analysis, calcium imaging
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in time series, tensor data analysis, and related topics. Duties include identifying important problems and novel approaches related to analysis of tensor and other complex time series and related
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to work independently; • Experience working on research projects with a research team; and • Excellent verbal, writing and analytical, organizational and attention to detail skills, computer literacy and
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and conceptually and formulate creative, sophisticated solutions to complex problems, prioritize workload, and work independently with general supervision. The position requires good communication and
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Internal Number: 255959 Position Summary: Rutgers School of Health Professions (SHP) is seeking a Postdoctoral Associate to work in their Health Informatics department. The primary responsibility
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, excellent communication skills, excellent computer literacy. Certifications/Licenses Required Knowledge, Skills, and Abilities PhD in life sciences. Experience with proteomics, bioinformatics, mass
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communication skills, excellent computer literacy. Certifications/Licenses Required Knowledge, Skills, and Abilities This research over a large span of life science topics and technical approaches, including
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/benefits/benefits-overview . Posting Summary Support research in an externally funded program investigating neuronal stress responses and the hypoxia-response. The Rongo laboratory within the Waksman
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research program addressing important and fundamental questions. To support this effort, interdisciplinary and translational approaches are encouraged. Qualified candidates must be a recent recipient of a
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manages data collection, cleaning, and analysis for assigned projects. Manages various data projects (including data validation, cleaning, and transforming program administrative data), and collecting and