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Assist in developing AI-based computational tools for analyzing biological images. Help implement machine learning, deep learning, computer vision, and image processing algorithms. Work closely with
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collection, data engineering, statistical modeling, or computational text and image analysis; Machine learning, natural-language processing, large language models, or evaluation and auditing of AI and online
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
spatial multi-omics data; AI-based modeling of protein structure and protein interaction networks; AI-based modeling of cell morphology and tissue function using imaging and computer vision; AI models
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in 4 larger programmes: Green Steels: The Dutch steel sector faces a major transition. The production, processing, use and recovery of steel is to be made significantly more sustainable by 2030 and
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biological data analysis. The Sr. Analyst will utilize computational tools to process, transform, visualize, and analyze datasets primarily derived from high-throughput experiments. We seek a highly motivated
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 23 days ago
, and harmonization processes to combine data from disparate data sources (e.g., electronic health data from multiple sites, claims data). Collaborate with multidisciplinary research teams to translate
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 13 days ago
, and harmonization processes to combine data from disparate data sources (e.g., electronic health data from multiple sites, claims data). Collaborate with multidisciplinary research teams to translate
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lecturer faculty members. The faculty are internationally recognized in research areas including data science, bioinformatics, machine learning, cybersecurity, computer vision, and computer systems. The
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Processing Multi-modal Medical Images and Decision Making. Block A. Academic and/or scientific and technical training (max. 50 points). Particular consideration will be given to candidates’ academic records
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a new computational paradigm that combines the versatility of the digital computer with the efficiency of close-to-physics computing. The group targets the full computational stack, from materials