1,405 data-"https:"-"https:"-"https:"-"https:"-"UWE,-Bristol" positions at Stony Brook University
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supervising and mentoring staff and the ability to lead individuals and teams. Deep understanding of faculty appointment processes, academic policies. Experience managing complex projects, information and
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. They will also assist with maintaining the integrity of collected data in an electronic database and assist with maintaining the study protocol documents and compliance with all Institutional Review Board
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mentoring staff and the ability to lead individuals and teams. Deep understanding of faculty appointment processes, academic policies. Experience managing complex projects, information and leading process
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information sheets for job fairs and recruitment events. Support onsite and virtual job fairs, including preparation, logistics, and follow-up. Manage the preparation and submission of mid-search review data
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. Experience with at-sea data collection. Experience with zooplankton sampling or underwater acoustics. Programming experience in R, Matlab, Python, or other statistical languages. Preferred Qualifications: Ph.D
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recombinant approaches to define mutations impacting Staphylococcus aureus biology and pathogenesis using in vitro and in vivo models. ● Document data generated in studies, analyze data with appropriate
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experience. Experience in collecting quantitative data using online survey tools (i.e. Qualtrics). Experience in quantitative and qualitative data analysis. Experience with School of Medicine practices
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supervising and mentoring staff and the ability to lead individuals and teams. Deep understanding of faculty appointment processes, academic policies. Experience managing complex projects, information and
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of Stony Brook University. * Within the predetermined research scope and methodology, conduct research experiments in the field of pharmaceutical science and drug delivery systems. * Collect and analyze data
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desirable. Strong background in mantle convection modeling. Proficiency in integrating multidisciplinary datasets, particularly seismological and geochronological and or thermochronological data