67 computer-programmer-"IMPRS-ML"-"IMPRS-ML" Postdoctoral positions at Rutgers University
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preferred. Experience with atmospheric models (e.g., GEOS-Chem, CMAQ) and skills in python, Fortran and high-performance computing are also desired. Position Status Full Time Posting Number 25FA0918 Posting
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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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various genomic datasets Effective spoken and written English required. High level of computer literacy required. Preferred Qualifications In-depth understanding and hands-on experience in RNA-seq and ChIP
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committed to diversity, equity, and inclusion; our priority to diversify our faculty ranks is outlined in the Rutgers DEI strategic plan . The Department of Animal Sciences and Rutgers University are working
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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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, 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