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controlling a large and complex physical plant. Computer-based energy management systems and DDC control experience preferred. Incumbent must be mobile around campus, be able to lift 50 pounds, crawl
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document written information in English in a timely manner, including electronic formats and applications (e.g., PRISM, CAMS); • effective written and verbal communication in English, including the use
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Sr Statistician Med-Anesthesiology and Perioperative Medicine - Pennsylvania-Pittsburgh - (25001766) Job Summary Oversees large, complex data sets and utilizes advanced programming methods and
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the deployment of acoustic recorders; (ii) manage large acoustic data sets; (iii) train and apply machine learning models to identify species present in audio; (iv) use statistical models to estimate species
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assists lower-level project managers. Essential Functions Manages large, moderately complex IT and research data projects and/or multiple small IT and research data projects for the full project lifecycle
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levels of service. Monthly budget vs. actual analyses must be thorough and accurate; large variations from budget must be explained, and corrective action taken if necessary. Detailed Standard Operating
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Experience analyzing and interpreting large-omic datasets. Multi-disciplinary experience in integrating cellular and molecular mechanisms and data with phenotypic, physiological, and psychological data
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controlling a large and complex physical plant. Computer-based energy management systems and DDC control experience preferred. Incumbent must be mobile around campus, be able to lift 50 pounds, crawl
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, and supervises large student staff to lead program activities. - Develops success metrics, and mechanisms for evaluating and reporting success. Makes improvements based on data findings. - Assesses risk
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committees that promote research and physician-scientist education and careers. Successful candidates will take an inter-disciplinary approach and excel at mechanistic research, novel big data approaches, and