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antibodies and anti-CD20 CAR T-cells form the backbone of treatment for mature B cell malignancies. The project focuses on elucidating changes in gene expression within the tumor microenvironment of chronic
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- friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/ Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard
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physiological signals, with a focus on ECG, and to develop machine learning and deep learning methods for classifying clinical, health, and wellness findings. Supporting project management and research group
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, proteomics, metabolomics), Capacity to develop and/or apply : Statistical or mathematical models Machine learning / AI methods Systems biology modeling approaches Research position The fellow will conduct
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Posting Summary Logo Posting Number STA00003PO26 Job Family Ancillary Services Job Function Mail Services USC Market Title Postal Clerk/Courier Link to USC Market Title https://uscjobs.sc.edu/titles
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commitment, passion, and excellence in teaching. This position will teach the FinTech 522: Financial Institutions -Statistics course in the FinTech Master’s Program, this required course is made up of two 7
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inference, and Machine Learning methods. In addition to leading their own research projects, the appointed candidate will have the opportunity to contribute to the projects of PhD students in the group, as
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incorporate optimized machine learning algorithms, support standardized IoT protocols, and be validated in laboratory and semi-industrial environments. The project contributes to smart maintenance strategies
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Responsibilities: Oversee the effectiveness of traditional and computer-based learning programs, ensuring evidence-based education aligns with quality metrics and positive patient outcomes. Collaborate across
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group includes 3 cancer trials units at Cork University Hospital (CTC @CUH), University Hospital Waterford and Bons Secours Hospital Cork. For more information about the group, check our website: https