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schedules, ordering equipment and supplies and tracking purchases, processing expenses, supporting the grant proposal process, assisting in academic and teaching duties, and preparing necessary correspondence
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visitors. The person in this role will need to demonstrate a high degree of professionalism and represent a positive image of the Center for Statistics and Machine Learning and its services at all times
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writing Method development for new techniques in the lab, as well as assisting with lab experiments including tissue dissections, cell isolations, flow cytometry, imaging, cell culture. Develop new
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biological data sets (genomics, proteomics, imaging, neuroscience), bioinformatics, molecular dynamics simulations, and related areas at the interface of computer/data science and the life sciences. Applicants
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data sets (genomics, proteomics, imaging, neuroscience), bioinformatics, molecular dynamics simulations, and related areas at the interface of computer/data science and the life sciences. Applicants must
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dissections, cell isolations, flow cytometry, imaging, cell culture. Develop new experimental protocols as the need arises Manage collaborations outside the lab with other Ludwig PIs, and national and
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administrators and other stakeholders concerning admission policies and procedures. Using Slate Inbox respond to email inquiries related to admission and onboarding processes. This includes addressing questions
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extensive collections of digital text, data, and images. Further information: http://library.princeton.edu . Reporting to the Assistant University Librarian for Science and Engineering, the Manager of
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should provide contact information for three references; no references will be contacted until the final stage of the hiring process. This position is subject to the University's background check policy
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engineering, or in a relevant engineering field, with an extensive background and training in the operation of a wide range of spectroscopic and imaging techniques for materials characterization. Use of HRTEM