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at Harvard Medical School in Boston, Massachusetts. The work of the Zitnik lab is focused on Artificial Intelligence for Medicine and Science. The selected candidates will lead research in generative
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Somabotics: Creatively Embodying Artificial Intelligence, an EPSRC Turing AI World-Leading Researcher Fellowship led by Professor Steve Benford. Somabotics explores how people "make meaning" through art and
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sovereignty, and increasing demand for speed, data capacity, and artificial intelligence require research into radiation effects engineering of complex microelectronics. Advanced high-performance devices used
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optimization of lattice structures, supported by practical experience with CAD platforms such as Fusion 360, SolidWorks, and nTop. Experience in the implementation of artificial intelligence and data-driven
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of Palliative Care within the Division of Primary Care, Palliative Care, and Preventive Medicine, is part of a consortium to deliver AI4HOPE (Artificial Intelligence-based Health, Optimism, Purpose, and Endurance
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The Research Fellow will be a member of the IPUR research team, working under the Director to help deliver IPUR’s research programme on risk perceptions and communications in the field of artificial
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of this role is to contribute to an industry innovation research project on developing artificial intelligence (AI) solutions for train operations and maintenance. Key Responsibilities Work closely with faculty
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. The research will focus on artificial intelligence, machine learning, data analytics, and recommendation systems, with applications to personalized decision-making, digital platforms, digital health, and mental
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artificial intelligence (AI) has shown great promise in helping us identify patterns, make predictions, and drive innovation in manufacturing, understanding how some AI models make their predictions
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Mexico (UNM) invites applications for one or more Postdoctoral/Research Scientist positions to contribute to a DOE-funded GENESIS research program applying artificial intelligence and machine learning