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of best methods of general operation and repair of complex medical facilities and building support systems Must be experienced and knowledgeable in all relative laws, regulations and codes including Joint
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and discuss budgets, and make recommendations as appropriate. Provide assistance on matters that are confidential, sensitive and complex in nature and which require a high level of analytical skill
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scalable bioinformatics pipelines on cloud-based infrastructure. The Research Fellow will be responsible for the code base supporting the large-scale genomic processing and analysis pipelines at the SMaHT
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Anatomic Pathology. Ensures timely and accurate specimen receipt, accessioning and grossing analysis and assists with intraoperative consultations. Performs scheduled maintenance, testing and quality control
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testing, and basic data analysis (dependent on project needs and proficiency with data analysis software, including Excel, creation of charts and graphs, calculating basic descriptive statistics, etc
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and analysis skills consistent with budgetary responsibilities Ability to read and correctly interpret or assess complex regulations, contracts and policies Ability to persuade or influence people
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
, web intelligence, and Crystal Reports. Ability to perform complex data analysis with large volumes of data. Expertise on EHR application(s) and a good working knowledge of how the application(s) collect
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ability to perform with tact, diplomacy, and discretion are essential. Northeastern University, a dynamic, innovative, and entrepreneurial University with a diverse, complex, and growing award portfolio, is
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Postdoc position in method development in human statistical genetics, with a focus on classificat...
complex traits. Dr Speed has developed the software package LDAK (www.ldak.org ). The position will be mainly funded by an ERC consolidator grant, aimed at finding novels ways to classify complex diseases
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algorithmic aspects related to the development of highly accurate, efficient, and robust AI models capable of operating effectively within complex and dynamic radiofrequency spectral landscapes, accounting