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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
generation (RAG) Prompt engineering experience Developing, training, and testing machine learning (ML) models Software engineering expertise Preferred Qualifications, Competencies, and Experience Experience
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control. Our laboratory is also part of the Optical Imaging and Brain Sciences, Medical Discovery Team initiative, providing us with access to substantial internally-funded resources for optical engineering
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, such as spatial transcriptomics, proteomics, and multiplexed imaging, to analyze brain tissue. Lead data analysis and interpretation, integrating multi-omic and imaging datasets to identify cellular and
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other sciences field by the time of hire and experience in a laboratory environment. Background in fluid mechanics and laboratory experiments is preferred. Data and image processing skills are also
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&Technology in Jupiter, Florida. The work will focus on drug discovery for neurodegenerative diseases as related primarily to mitochondrial biology and the mitochondrial dysfunction that occurs in
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MD degree. Must have relevant background in Biological/Biomedical Sciences or related Engineering field with a specific focus in cardiology, cardiovascular diseases, and cardiac imaging. Must have
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related discipline. Preferred Qualifications Cardiac electrophysiology, Animal handling and surgery (rodents, rabbits, pigs), Donor human hearts, Optical and Electrical mapping, Molecular imaging (western
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/DNA transfections, lentiviral production and cell transduction, CRISPR engineering. In vivo : Subcutaneous/orthotopic tumor xenografts experiments, brain stereotactic injections, mouse handling
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such as PyTorch and TensorFlow. Experience with high-performance computing and/or scientific workflow. Strong background in inverse problems, numerical optimization and image processing. Job Family
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structured and unstructured data, such as text, images, and videos. Additionally, there are individual machines available, each with high-performance GPU cards for enhanced processing capabilities. Various