96 parallel-computing-numerical-methods-"Prof" Postdoctoral positions at Rutgers University
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and gene-engineered T cells. Postdoctoral Associates are expected to establish an innovative, collaborative research program addressing important and fundamental questions. Active areas of research
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focus on the treatment needs of individuals with chronic pain and opioid, tobacco, and other substance use disorders. Mentorship for developing research ideas, designs, and methods, conducting clinical
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, and preparing manuscripts, reports, and presentations. Performs numerous experimental approaches, including single-cell genomics by next-generation sequencing, in situ single-cell analyses of DNA and
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communities in health and disease. The successful candidate will work at the interface of bioinformatics, microbiome ecology, and metabolomics, contributing to both computational analyses and laboratory
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biochemical methods will be used to investigate how these motor proteins convert the energy from ATP hydrolysis into mechanical work in order to promote pre-ribosomal folding. The assays developed will be used
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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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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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animal infection and treatment studies of both viral and bacterial pathogens. Uses conventional and novel methods including advanced robotics to screen libraries of M. tuberculosis for drug tolerance and
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other substance use disorders. Mentorship for developing research ideas, designs, and methods, conducting clinical trials, and writing grants will be provided. Clinical opportunities and supervision
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of mouse behavioral paradigms is required. Extensive computer programming experience in python or Matlab and the ability to deal with large, complex datasets are required. Experience with preparation and