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for this position will be a highly motivated individual with experience in deep learning and medical imaging and a PhD degree in computer science, electrical and computer engineering, biomedical engineering
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courses per year. Ideal candidates would have significant prior experience in data engineering, data science and/or machine learning in an industry setting. They would also have a PhD or commensurate
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science involving extracellular vesicles. Dr. Kraus’ lab includes researchers with diverse competencies and is a rich environment for learning and growth. Please note this is a term-limited position, ending
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will develop novel statistical and machine learning methods for any of the following: multi-omics data (such as bulk and large-scale single-cell RNA sequencing data, spatial transcriptomics, bulk and
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limited to, patient-specific, monthly, daily, and annual QA, machine and equipment acceptance/commissioning, imaging technology, treatment or diagnostic planning, special procedures, and radiation safety
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associate will work on natural language processing (NLP) coding and tasks for a research project at the intersection of machine learning and materials science. The project aims to extract fundamental details
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limited to, patient-specific, monthly, daily, and annual QA, machine and equipment acceptance/commissioning, imaging technology, treatment or diagnostic planning, special procedures, and radiation safety
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for the various program activities and bill to participants as necessary Manage Databases to track information on graduates of the MD/PhD program and MSTP Training Grants and student Fellowships Develop with
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, United States of America [map ] Subject Areas: Artificial Intelligence / Biostatistics and Data Science Engineering / Design Engineering , Software Engineering Machine Learning / Data Science Appl Deadline: (posted 2024
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, including development of new computational tools for processing large-scale biospecimen data Creation of novel machine learning frameworks for automated scientific analysis and discovery Design and