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and implement machine learning systems, models, and schemes Research and apply state-of-the-art machine learning prototypes to sponsor specific domains Search and select appropriate data sets before
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Experiential Learning Analyst Apply now Job no: 553801 Work type: Staff Location: Los Angeles Categories: Unit 9 - CSUEU - Technical Support Services, Administrative, Probationary, Full Time Job
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to Lancaster's high-performance computing facilities. Essential Requirements PhD in Machine Learning, Computer Science, Computational Neuroscience, or related field Demonstrable experience developing deep learning
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collaboration across disciplines, strengthens partnerships with industry and society, and nurtures a thriving global network, who spearheads advancements in AI & Machine Learning, Data Science, Environmental
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, using signal processing/machine learning techniques, to realise all-weather perception in autonomous vehicles with high-quality multiple-input-multiple-output (MIMO) radar sensing/imaging. The project
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Machine Learning. Situated at the intersection of Computer Science and Mathematics, this role offers a distinct opportunity to drive innovation in one of the most dynamic fields of modern technology. You
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PhD studentship in Machine Learning-Based MIMO Radar Sensing for All-Weather Perception in Autonomous Vehicles Award Summary 100% fees covered, and a minimum tax-free annual living allowance
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
IT EDW Operations Full Time 87012BR Job Summary The Machine Learning and Data engineer role will lead the development, implementation, and maintenance of data pipelines and infrastructure to support
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are seeking a Senior Data Engineer with deep expertise in database design, optimization, and data access strategies to support our growing data science and machine learning initiatives within the Visualization
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, and construction of optical systems in the laboratory Documentation and evaluation of experimental and simulation results Development and validation of machine learning algorithms (e.g., CNNs, deep