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with a team of engineers, snow scientists, and forest ecologists within the ESRC/EOS at the University of New Hampshire. The appropriate candidate will have cutting edge knowledge of machine learning and
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· Familiarity with applying machine learning techniques and concepts within practical implementations in healthcare domains preferred · Experience with ML frameworks and libraries such as TensorFlow
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University of California, Los Angeles | Los Angeles, California | United States | about 21 hours ago
JOB DUTIES Description UCLA Health is seeking an innovative Machine Learning Specialist to help shape the future of healthcare through artificial intelligence. This role drives the development and
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of Machine Learning (Theory or Practice). A successful candidate will be expected to lead a research team of graduate students as well as teach at the undergraduate and graduate levels. The position is open to
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with a team of engineers, snow scientists, and forest ecologists within the ESRC/EOS at the University of New Hampshire. The appropriate candidate will have cutting edge knowledge of machine learning and
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foundations of quantum adversarial machine learning, an emerging field at the intersection of quantum computing and machine learning. It investigates how the unique capabilities of quantum computing can be
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This research project aims to establish the theoretical and algorithmic foundations of quantum adversarial machine learning, an emerging field at the intersection of quantum computing and machine learning. It
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Pneumatic Tires, Structure-Process-Properties Relationships. As part of it, we are currently looking for a postdoc on machine learning for road characterization. How will you contribute? Do you have proven
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combined with human support. About the role The Research Scientist in Machine Learning for Wearables will develop predictive deep learning models to assess maternal and partner health and behaviour
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limited. We are offering a PhD scholarship for a student to develop ambitious new machine learning strategies for generating AI-ready data. You will work at the frontier of active learning and ML-guided