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clinical trials in patients with cancer; to identify and validate predictive biomarkers of clinical outcomes in cancer; and perform meta- analyses using the Bayesian framework. The projects will lead to both
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, and visualization are preferred. Prior training in longitudinal data analysis, survival analysis, Bayesian methods, and joint modeling is highly desirable. Experience working with clinical or biomedical
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patients with cancer; to identify and validate predictive biomarkers of clinical outcomes in cancer; and perform meta- analyses using the Bayesian framework. The projects will lead to both collaborative and
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that is synergistic with their independent research. Clinical trials innovation focus: clinical trial innovation, including complex adaptations, Bayesian methodology, integration of real world evidence
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of patient status Ability to use computer and learn new software programs and technology Able to document and communicate pertinent information using computer and/or paper documentation tools Knowledge in
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certification Knowledge, Skills, and Abilities Ability to use office related computer software Possess knowledge of radiation protection and safety General computer knowledge IV placement and management skills
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, delivering instruction, and mentoring the next generation of developers. Minimum Requirements Bachelor's degree in Computer Science, Data Science, Machine Learning, Electrical Engineering, Computer Engineering
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, including Computer Science, Electrical and Computer Engineering and Music and will be expected to participate in the preparation of research proposals and scientific publications. The candidate will also be
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of care, interventions, evaluation and re-evaluation of patient status Ability to use computer and learn new software programs Able to document and communicate pertinent information using computer and/or
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computer ized image data to include function curves andreconstructed SPECT images .Assume care for physical and psychological needs of patient of all ages during an examination, initiates life support