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- Comprehensive Cancer Center Department: Medicine | Radiation Oncology Summary: Post Doctoral Scholar to pursue specialized research training and experience under the guidance of a scientific mentor
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OSU | about 1 month ago
- Comprehensive Cancer Center Department: CCC | Comprehensive Cancer Center Position Summary This NIH-funded program provides multidisciplinary training across the full spectrum of cancer prevention
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environment with the physicians, staff, and all health providers. Performs phlebotomy, CPR, Injections, and other skills within scope of practice. Demonstrate proficiency in computer skills, Windows
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- Comprehensive Cancer Center - Contingent/IRP Department: Arts and Sciences | Molecular Genetics Administration-JM Researcher will design, carry-out, and analyze molecular biology experiments in the field of
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- Comprehensive Cancer Center - Contingent/IRP Department: Arts and Sciences | Molecular Genetics Administration-JM Researcher will design, carry-out, and analyze molecular biology experiments in the field of
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disease management The overarching approach the Center follows includes 3 key components -Implement sound scientific methods and collect data through traditional as well as cutting-edge technology
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and natural history. This role is part of the QIM Center for Quantification of Imaging Data (https://qim.dk/). As part of QIM, you will be interacting with a large imaging network in connection with
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machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch or TensorFlow) Project funding Other Funding
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[Malaysia Campus- VPSSP] An AI-Informed Planetary Health Framework for Equitable AMR Risk Mitigation
ensure local relevance. Required knowledge Artificial Intelligence; Machine Learning; Computer Vision; Bioinformatics; Biomedical Engineering; Neuroscience; Genomics; Medical Physics; Data Science
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help unlock the data needed for the energy transition? In the NWO-funded SHARE project, you will develop AI models that generate realistic, privacy-preserving synthetic energy data for grid planning