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using natural language processing techniques, machine learning and predictive modeling. They will analyze these databases using machine learning algorithms, contribute to the development and
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successful record of publishing high-impact papers, securing research funding, mentoring trainees, and developing/teaching courses at different levels. Successful applications at the Assistant Professor level
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deep learning models (semantic segmentation, domain adaptation, multimodal AI) to analyze plant and environmental data. Support the integration of AI algorithms with robotic and sensing systems for real
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on the assessment. The James Clinical Call Center Triage RN uses established triage algorithms to guide the assessment and interventions that need to be taken. The James Clinical Call Center Triage Nurse is
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the development of scientific data query mechanisms and algorithms, and integrating scientific data for basic and clinical research studies. The Research Data Analyst I will interact with study investigators and
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. The applicant must meet with clinicians to understand the nature of the dataset and translate that knowledge into data cleaning so the data can be properly used by machine learning algorithms. The Data Analyst
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algorithms that integrate high-throughput molecular data, medical imaging, and Electronic Health Records (EHRs), focusing on privacy-preserving learning (e.g., federated learning), algorithmic security, widely
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on the assessment. The James Clinical Call Center Triage RN uses established triage algorithms to guide the assessment and interventions that need to be taken. The James Clinical Call Center Triage Nurse is
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the established discharge plan; use of clinical pathways, algorithms, and clinical guidelines; use of specific protocols to address component functions or skills established within the Rehabilitation Plan of Care