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Field
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Science and Engineering, or a related discipline Research experience in optical imaging, structured-light three-dimensional reconstruction, computational imaging, computer vision, machine learning
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expensive and dangerous health threats, and responds when these arise. Within CDC, the Biothreat Radar Office (BTRO) advances CDC's early-warning capabilities by setting the vision for Biothreat Radar
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areas: Computer Vision and Image Processing Machine Learning, Deep Learning, and Reinforcement Learning Large Language Models (LLMs) and Multimodal Models Generative AI, Agentic AI, Physical AI, and
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Institutions. Preference factors: Previous experience in biomedical image and signal processing; Previous experience in computer vision; Minimum requirements: Degree in Computer Science, Informatics Engineering
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pathophysiological mechanisms for acute organ injury research under POI-KB. · Authorship of high-impact first-author or co-author manuscripts in leading informatics and machine learning journals and conferences
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, Bioconductor, tidyverse, SingleCellExperiment, or related software. Experience with Python and machine learning approaches is considered an asset. APPLICATION PROCEDURE Applicants should submit: Cover letter
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computer vision models Preferred Qualifications Candidates with expertise in computer vision, AI/machine learning, and data science are encouraged to apply. Salary Range $70,000 Working Conditions Most work
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, imitation learning, or computer vision techniques for robotics applications. Strong analytical and problem-solving skills. Good written and verbal communication skills. Ability to work independently and
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the speed up from using GPUs as well as machine learning techniques, e.g. simulation-based inference. Finally, we will use similar techniques to make a statistical inference of the population of subhaloes by
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will have a strong research record in NLP, machine learning, or closely related areas, along with excellent communication and collaboration skills. We are especially interested in candidates with strong