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for acquiring nanoscale volumetric images of brain tissue. This will include projects on robotic collection of ultrathin serial sections and automated high-throughput imaging. The scientist will manage
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including imaging, software installation, and software upgrades. Educate and train administrative staff on proper computing techniques, security, and use of applications. Assist Linux system administrators
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for code and configuration (git) Familiarity with using Application Programming Interfaces (APIs) Familiarity with common tools for IT documentation and project management (Confluence, Github) Applications
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at Princeton University. The Mesa Lab has pioneered innovative intravital multiphoton imaging techniques, paired with advanced mouse genetic tools, to observe and manipulate immune cell behavior at the single
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purchases subject to Uniform Guidance Experience with contract lifecycle management tools Working knowledge of Uniform Commercial Code Familiarity with eProcurement systems and processes Experience in a
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award terms, core University principles, policies and processes Familiarity with the application of the Federal Acquisition Regulation, Code of Federal Regulations, Federal circulars, and major agency
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award terms, core University principles, policies and processes Familiarity with the application of the Federal Acquisition Regulation, Code of Federal Regulations, Federal circulars, and major agency
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receive interviews will also be asked for a data analysis code sample (in R, Stata, SPSS, Python, or similar) and 2 references (with ideally at least one of these being an academic/research reference
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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