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They might also teach classes in acting, playscript analysis, musical theatre, dramatic literature, and applied performance depending on their area of expertise. Particularly noteworthy opportunities for undergraduates include the Charles A. Dana Research Institute for Scientists Emeriti (RISE), the Drew Summer Science Institute (DSSI), the Center for Civic Engagement, as well as seven New York City semesters and several international study abroad programs.
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Mammalian cell culture, cytotoxicity analysis and multi-color fluorescence flow cytometry. Conduct literature search to design in vitro/in vivo models and conduct thorough research to initiate pipeline development.
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Undertaking literature reviews to augment GSI knowledge base of how to effectively integrate gender and social inclusion issues into MCC sectors (transport, water, energy, land, and education sectors.
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Ability to perform research including literature reviews and develop methods, tools, techniques, and implementations for cyber-physical system security, including embedded systems vulnerability research, reverse engineering, and protective measures; sidechannel signals capture and analysis; Internet of Things vulnerability research and reverse engineering; malware analysis; and other disciplines related to cyber-physical security.
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Support the review and analysis of general ledger transactions and account reconciliations to ensure proper classification, accuracy and completeness. a person with intellectual curiosity who keeps up with the latest developments in their field by taking advantage of educational opportunities, reading specialized literature, maintaining personal networks, and joining professional organizations.
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This role will assist in various tasks, including literature review, study design, survey development, quantitative and qualitative data collection and analysis, training program development, manuscripts/reports writing, student supervision, and will work with Dr. Chen for coordinating and managing relevant projects as well as other duties as assigned.
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Toxicology systematic review tasks including literature screening, study quality evaluation, study data extraction, dose-response analysis, incorporation of NAMs and mechanistic data, and data synthesis.
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Read all industry literature, bulletins, publications, and in-house memos concerning billing guidelines, review literature on all insurance updates and changes. Complete a/r analysis on denials when necessary as an education toll for other departments.
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Project and technical support of activities on multiple projects concurrently involving toxicology data, systematic literature reviews, and risk assessment. Toxicological report development, including writing methods, results, and discussion sections, reviewing toxicological conclusions based on the test results, and synthesizing findings into a weight of evidence analysis.
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Analysis of primary data (both qualitative and quantitative) and secondary data (perform literature, systematic, and mapping reviews and meta-analyses). 1-2 years’ experience related to data collection, management and analysis.
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Willingness to learn new skills such as Finite Element Analysis or Failure Analysis. Position located in Wixom, MI will be a technical resource for questions regarding specifications, materials, testing and literature associated with seal material selection and design.
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Continually improves quality of therapy provided via input from clinical supervision, professional conference attendance and analysis of clinical literature. Extensive knowledge of various therapeutic techniques utilized when treating clients experiencing mental health challenges, including sexual abuse/trauma.
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Support the execution of Duke-Margolis public and expert convenings (e.g., workshops, roundtables, seminars, other varied stakeholder meetings) through topic-focused policy research, preparatory analysis and writing to craft clear and concise materials for stakeholder and expert review and response, coordination, and logistics management for events ranging in size from focused expert panels to large-scale public events.
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Use broad knowledge of Machine Learning and Deep Learning innovative methods, algorithms, and tools from within Microsoft and from the scientific literature, and apply your own analysis of scalability and applicability to the formulated problem.
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Proficiency using data analysis software (e.g., SAS, SPSS, R, Python, DeDoose, NVivo, ArcGIS, etc. Experience conducting social science research, including interviews, surveys, focus groups, and/or literature reviews.
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