402 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at University of Pittsburgh
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patients in an outpatient and hospital setting. Salary and academic rank are commensurate with experience and qualifications. Applicants should apply through the Talent Center at https://www.join.pitt.edu
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patients in an outpatient and hospital setting. Salary and academic rank are commensurate with experience and qualifications. Applicants should apply through the Talent Center at https://www.join.pitt.edu
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competitive salaries and generous benefits. Interested candidates should apply to Requisition #24003586 at https://www.join.pitt.edu/ . The University of Pittsburgh is an equal opportunity employer / disability
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data scientists, providing summary reports, regression analysis, application of publicly available signal processing methods, and executing machine learning training processes. Familiarity with R
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Program Coordinator - OLLI Engagement and Community Affairs - Pennsylvania-Pittsburgh - (26001312) The Program Coordinator will support the Osher Lifelong Learning Institute (OLLI), a membership
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response to electrical stimulation. Develop axonal conduction models to study nerve conduction and block by complex electrical stimulation waveform. Develop neural network and machine learning models
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direction from faculty. As a member of the broader Instrument Management Service staff, the incumbent will also be expected to learn and participate in all phases of preventive maintenance of instrumentation
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positions offer highly competitive salaries and generous benefits. Interested candidates should apply to Requisition # 23003551 at https://www.join.pitt.edu/ . The University of Pittsburgh is an equal
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Research Assistant LRDC - Pennsylvania-Pittsburgh - (26000875) This position is at the Learning Research and Development Center (LRDC), a multi-disciplinary center for research to advance
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multimodal datasets Collaborate with teams to define project requirements and deliverables Contribute towards development, evaluation of machine learning models in digital healthcare Physical Effort This is