109 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at University of Washington
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. The successful candidate will be a member of a highly interdisciplinary team including oncologists, biologists, engineers, and imaging scientists. The candidate will develop computational models of human disease
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care. The Luo Lab in the Department of Biomedical Informatics and Medical Education has a Postdoctoral Scholar position open with a focus in machine learning. The postdoctoral scholar will work on topics
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Institute for Learning & Brain Sciences (I-LABS) has an opening for a bilingual (Spanish-English) post-doctoral researcher interested in bilingual language development in young children. We are focusing
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computer vision and machine learning approaches to integrate ground-based imagery, remote sensing data, and lidar data for high-resolution flood detection and mapping. Develop and calibrate hydraulic flood
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analysis; Biomarker identification through the use of machine learning approaches; and Multi-omics data integration with genomics, transcriptomics and methylomics data. Job Description Primary Duties
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Applicants must have a PhD or foreign equivalent degree in quantum information science, high-energy physics, nuclear physics or computer science, broadly defined, by the date of appointment. Instructions
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conditions, and brain tissue microstructure and functioning. The successful candidate will be working within a multi-disciplinary team of MRI physicists, computer scientists, radiologists, neuroscientists, and
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biology and FLASH/ultra-high dose rate radiotherapy (UHDR-RT). This position offers an exceptional opportunity for a motivated PhD or MD/PhD scientist to advance the biological and translational foundations
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positions starting in Autumn 2026. The INT’s local research interests include QCD, lattice gauge theory, quantum computing, many-body theory and nuclear structure, nuclear astrophysics, effective field theory
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or experience in nontraditional research publication methods and collaborative notetaking software (e.g., Roam Research, Obsidian, Notion). ? Familiarity with cloud computing and machine learning techniques