2,680 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "FORTH" positions at Duke University in United States
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, genomics, computer science, bioinformatics, or a related discipline. The successful candidate will lead computational research projects applying advanced statistical, machine learning, and artificial
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variety of strategic tools - Assists learners in the assessment of needs and identification of outcomes - Incorporates principles of adult learning in the planning, implementation, and evaluation
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and test results; coordinate the preparation of report and analyses setting forth progress, adverse trends and appropriate corrective action. Assist in annual validation of Electronic Test Catalogue
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; teach and perform routine clerical and technical procedures including specimen collection, and responsible for the delivery of supplies and procurement of specimens from physicians’ offices, clinical
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therapeutic apheresis procedures in the outpatient apheresis clinic and inpatient care units. Schedule: Option of 8 /10/12 hrs shifts Job Duties: Ideal applicants would have excellent computer and phone
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scanning and using protocols given. Demonstrate proficiency in the 100+ MR protocols in the Health System. Teach the correct application of these protocols to new technologists, physicians, and researchers
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deploying new automation and innovation solutions. - Learn and apply new frameworks, languages, and tools. - Support research and prototyping for emerging technologies (AI, ML, Automation). - Contribute
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. General Description Perform a variety of the technical procedures involved in the procurement, processing, and evaluation of patient specimens for use in the diagnosis and treatment of disease; teach and
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. General Description Perform a variety of the technical procedures involved in the procurement, processing, and evaluation of patient specimens for use in the diagnosis and treatment of disease; teach and
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doctoral degree in Computer Science or Biomedical Informatics or a closely related quantitative field. The successful candidate demonstrates documented expertise in machine learning and distributed