78 parallel-computing-numerical-methods-"Simons-Foundation" Postdoctoral positions at Rutgers University in United States
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procedures and propose new methods or improvements. Contribute to the development of research methodologies and selection of instrumentation for metabolic studies. Present research findings at national
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at the intersection of computational modeling, data science, and clinical medicine. The successful candidate will work closely with clinicians, intensivists, and computational scientists to develop
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practices relating to the education of young children birth to age 8 and those ages 3 to 5, in particular. Equipment Utilized Computer literacy including spreadsheets, webinars, and statistical programs
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. Data Analysis: Employ advanced analytical methods, including imaging, electrophysiological recordings, molecular analyses, and behavioral metrics to interpret experimental results. 10 % 4. Mouse Colony
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are required. The ability to work both independently and collaboratively is also essential. Must be computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word
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genomics techniques with computational analyses to understand gene regulation in health and disease. Such models are based on multi-omics high-throughput assays, either performed by the Postdoctoral
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Pension Eligibility ABP Qualifications Minimum Education and Experience PhD in biomechanics, kinesiology, biomedical engineering, computer science, or a closely related discipline. Experience with motion
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, biology, biomedical engineering, computer science, or related discipline, or an equivalent combination of education and/or relevant experience, such as data collection through laboratory experiments with
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, or qPCR. Utilize viral vector techniques to obtain cell-type specific neuronal gene transduction manipulations in vivo. Use specialized computer skills to analyze data, like Graphpad Prism, Pathfinder, and
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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