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Skip to Main Content Toggle navigation Home Search Jobs Job Alerts Log In /Create Account Help PS Post Doc Res Assoc Bookmark this Posting Print Preview | Apply for this Job Announcement Details
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Machine Learning. We are looking for a motivated candidate, who has interest in both theoretical, methodological and applied research in anomaly detection in sequential data settings, and who is excited
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of Medicine We focus broadly on quantitative and machine learning techniques in multiple modalities of medical imaging (e.g. fundoscopy images, OCT scans, MRI, CT, X-ray and digital pathology). We bridge
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 9 hours ago
Electrical & Computer Engineering Work Location Grigg & EPIC Vacancy Open To All Candidates Position Designation Post Doc Employment Type Temporary - Part-time Hours per week 40 Work Schedule Monday through
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viability data to discover new biomarkers and treatment strategies. You will work in a highly interdisciplinary environment spanning oncology, cell biology, imaging, bioinformatics and machine learning, with
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overview Position title: Abdominal Imaging Fellow/Health Sciences Clinical Instructor Salary range: The posted UC salary scales (https://www.ucop.edu/academic-personnel-programs/compensation/index.html ) set
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strong background in one or more of the fields of rock physics, petrophysics, seismic attribute analysis, seismic inversion (both pre- and post-stack inversions), and machine learning with geoscience
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Norwegian courses. Required selection criteria You must have completed a doctoral degree in (machine learning, statistics, or similar). You must have a professionally relevant background in algorithms
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optimization. Experience with quality-diversity methods is a plus. • Experience with machine learning and artificial intelligence. • Strong programming skills (e.g., Python, C++), and familiarity with ROS
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) Posting End Date November 6, 2025 Note: Applications will be accepted until 11:59 PM on the Posting End Date. Job End Date March 31, 2026 The expected salary for this position is $ 95,000 per annum