77 parallel-computing-numerical-methods-"Simons-Foundation" Postdoctoral positions at Rutgers University
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using various biophysical methods (for example: EMSA, ITC, AUC, FLUORESCENCE ANISOTROPY, BLI, MST, CD etc.). Experience with assay development and molecular microbiology a plus. Research experience in
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he successful candidate is expected to have experience with advanced functional neuroimaging data analysis methods and/or computational cognitive modeling. Preferred Qualifications Previous experience
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Investigator neuroimaging research projects; contributes to meeting regulatory compliance (IRB and possible IACUC) and to the compilation of regulatory protocols; designs, tests and evaluates methods and
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opportunity to contribute to cutting-edge research in the development of clinical trials, self-management science, acute/chronic disease management and pain mechanisms and methods under the mentorship
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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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renewable for two additional years pending productivity, performance, and overall fit. The postdoctoral program enables associates to build a high caliber scholarly portfolio in LGBTQ+ public health research
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Proteomics, Degrader Development, Drug Discovery, Proteomics, PTMs, Targeted Protein Degradation (TPD). Design, develop and perform experimental methods for various projects. Develop, write and publish
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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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candidate is energetic, collegial, detail oriented and organized. Preferred Qualifications Experience in biochemical and molecular biology methods to study blood coagulation factors in a disease-focused
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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