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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: Engineering / Design Engineering , Software Engineering Artificial Intelligence / Biostatistics and Data Science 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
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: Durham, North Carolina 27710, United States of America [map ] Subject Areas: Medicine / Artificial Intelligence, Machine Learning and Autonomy Clinical Research Informatics Appl Deadline: none (posted
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utilize new machine learning methods for 3D behavior tracking and analysis. · Advise PhD students on related projects. Other Work Performed and Expectations · Document progress consistently and
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theory, multi-objective optimization and machine learning. The specific project aims to understand the multiscale interactions shaping human gut bacteria and human gut pathogens. The project will combine