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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | 5 days ago
products including blood, vaccines, allergenics, tissues, and cellular and gene therapies. Research Project: The fellow will contribute to the development of novel scientific, bioinformatics, and AI/machine
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practical applications, including solving mathematical reasoning problems. The ideal candidate has a strong background in machine learning and an interest in bridging rigorous theoretical insights with
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application! Do you have a background in machine learning and interested in telecommunications? You have a chance to contribute to development of sensing methods for new distributed MIMO systems. Your work
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representations of time‑dependent data through sequences of iterated integrals and have recently gained significant attention in machine learning and data science. The project will investigate how
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24th April 2026 Languages English English English The Department of Mathematical Sciences has a vacancy for a PhD Candidate in Mathematical Foundations of Machine Learning for Sequential Data Apply
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30th April 2026 Languages English English Norsk Nynorsk English PhD Research Fellow in Mathematics focused on theapplication of geometry to machine learning Apply for this job See advertisement UiB
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on developing robotics and cyber physical systems solutions using machine learning and artificial intelligence to support different aspects of marine science, with opportunities to expand to other areas
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learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI
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JOB DUTIES Description The Machine Learning Specialist plays a key role in advancing UCLA Health’s AI and machine learning capabilities. This position contributes to the development, evaluation
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Lab at Princeton University aims to recruit a postdoctoral fellow or more senior research position to work on projects related to the development of AI/machine learning approaches for chemical and