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candidates whose work lies at the intersection of statistics, machine learning, data analytics and modern AI algorithms. This includes, in particular, statistics for high-dimensional and complex data
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, government or corporate setting. They would also have a PhD or commensurate industry experience/expertise in a Cybersecurity related discipline, such as Computer Engineering, Computer Science, or Electrical
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& National Security), underpinned by cross-cutting Fundamental Research. In the Environment & Sustainability Grand Challenge, we will develop machine learning and AI as a transformative technology to benefit
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swarm learning experiments, and provide technical input to establish local machine learning capabilities. The post offers opportunities to work closely with academic and industry partners, both within and
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to candidates from a broad range of AI subfields, including, but not limited to machine learning, generative AI, computer vision, representation and reasoning, natural language processing
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Interest in learning and strengthening existing skillsets Strong technical and programming skills, familiarity with current deep learning techniques, with a focus on computer vision Contact Information
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outstanding candidates whose work lies at the intersection of statistics, machine learning, data analytics and modern AI algorithms. This includes, in particular, statistics for high-dimensional and complex
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of the quantum machine learning task. You should have a strong background in theoretical physics, quantum computing, or machine learning and have completed or be in the final stages of a PhD in this or a related
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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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of this project will bring forward the integration of novel methods at the intersection of advanced control, optimization, manufacturing science, robotics, and machine learning. The doctoral student position we