108 computational-complexity-"U.S"-"U.S" Postdoctoral positions at Rutgers University
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is expected to be self-motivated and can think broadly and conceptually and formulate creative, sophisticated solutions to complex problems, prioritize workload, and work independently with general
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ability to understand and communicate in English to sufficiently perform the job duties. Must be computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft
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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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Position Details Position Information Recruitment/Posting Title Postdoctoral Associate Job Category Staff & Executive - Research (Laboratory/Non-Laboratory) Department SHP-Health Informatics
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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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pilot program that is effective September 1, 2022 through August 31, 2023. Therefore, there is no guarantee that this flexible work arrangement will continue beyond that date. Flexible work arrangements
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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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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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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