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Postdoctoral Research Associate - Hybrid Computational-Experimental Scientist in Bacterial Drug Resp
hybrid scientist who wants to help define a next-generation research program at the intersection of microbiology, genomics, and quantitative biology. St. Jude is an Equal Opportunity Employer No Search
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, Biophysics, Chemistry, Molecular Biology, Genetics or related field Laboratory expertise in DNA nanotechnology and/or molecular programming Strong skills in analytical chemistry Joining the CMU team opens
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implementation of TA programs and processes in line with St. Jude's talent strategy. Understand the process from an applicant's perspective; Develop and deliver a consistent, transparent candidate experience from
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program in bladder cancer research. Particularly, has characterized metabolic alterations associated with smoking in bladder cancer, health disparity and defined a role xenobiotic metabolism in bladder
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Requisition Id 15823 Overview: We are seeking a postdoctoral researcher skilled in biogeochemistry who will contribute to mercury remediation technology development program, specifically focusing
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how you plan to contribute to the above research topics Contact details of at least three references. All attachments should be in PDF format. If you have any questions about the position, please email
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communication skills. Strong attention to detail and good organizational skills. Strong desire to work in a collaborative research program. Interested candidates should email Professor Michael Manfra at mmanfra
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strong plus, as well as programming skills A publication record in peer-reviewed journals Fluency in English (spoken and written) Nice-to-have: Good communication and interpersonal skills Motivation and a
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and to solve major global challenges. About you You will hold a relevant PhD/DPhil in Cognitive Neuroscience, Psychology, or a related subject. Strong programming skills (Python and/or MATLAB) and the
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to a multidisciplinary program exploring drivers and seasonality of WNV in a multi-species system. They will write code, use models and other quantitative or statistical analyses within life science