44 algorithm-development-"Prof"-"Prof" Postdoctoral positions at Baylor College of Medicine
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Biology in Cancer Genomics and Immunology. This position will be involved in the development and/or application of computational approaches to understand the mechanism of cancer development, progression
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data, metabolomics and/or proteomics. Develops robust pipelines for data annotation, analysis, and quality control. Creates analytical algorithms and tools to address scientific questions with big data
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clinical activities. Evaluates and analyzes data independently. Establishes new research protocols and procedures. Develops service line focused on peer support services participating in all aspects
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treatment plans, enhance patient outcomes, and innovate radiation therapy techniques. Job Duties 1- AI-Modeling for Treatment Planning: Develops, optimizes, and validates AI-based models to assist in image
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. Establishes new research protocols and procedures. Develops service line focused on peer support services participating in all aspects necessary to accomplish this goal. Develops projects focused on peer
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/or research supervisors. Documents clinical activities. Evaluates and analyzes data independently. Establishes new research protocols and procedures. Develops service line focused on peer support
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translational research focuses on ligandomics, a new omics technology engineered by our group, for drug target discovery and novel therapy development to treat ocular diseases, including glaucoma, diabetic
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translational research focuses on ligandomics, a new omics technology engineered by our group, for drug target discovery and novel therapy development to treat ocular diseases, including glaucoma, diabetic
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translational research focuses on ligandomics, a new omics technology engineered by our group, for drug target discovery and novel therapy development to treat ocular diseases, including glaucoma, diabetic
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, metabolism, and the development and treatment of metabolic diseases such as obesity and cancer. The goal is to identify nutritional interventions and metabolic pathways for prevention and treatment