17 project-manager-science Postdoctoral positions at University of North Texas at Dallas
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communication skills Project organization/management skills Advanced training in quantitative research methods Ability to work independently and as a team member Preferred Qualifications Prefer if the Doctoral
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Title: Postdoctoral Research Associate - Biology (The Dzialowski lab) Employee Classification: Postdoctoral Research Assoc Campus: University of North Texas Division: UNT-Provost SubDivision
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the University of North Texas in Denton and Frisco, the University of North Texas at Dallas and UNT Dallas College of Law, and the University of North Texas Health Science Center at Fort Worth. We are the only
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these results. These activities will spread over the subareas relevant to AM such as fundamentals of AM, data science and analytics, cybersecurity, logistics supply chain management that are identified as the
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Title: Postdoctoral Research Associate Employee Classification: Postdoctoral Research Assoc. Campus: University of North Texas - Health Science Center Division: HSC-Div of Rsrch & Innovation
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System includes the University of North Texas in Denton and Frisco, the University of North Texas at Dallas and UNT Dallas College of Law, and the University of North Texas Health Science Center at Fort
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include the day-to-day management of the project, manuscript and proposal writing, presenting original research internally and externally at meetings and conferences, and mentoring students
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organometallic chemistry. Instruct and mentor graduate and undergraduate students involved in research projects. Contribute to the writing of peer-reviewed publications and research proposals. Manage laboratory
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the reconstruction of fungal secondary metabolite pathways in a plant host. The project is highly interdisciplinary and will require knowledge and experience of molecular biology, cell biology, and analytical
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offering a postdoctoral research associate position to work on a federally sponsored fundamental science research project that is broadly focused on analyzing physiological data using the method of Diffusion