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into algorithms for the Lov sz Local Lemma and related problems in distributed and parallel models. Research will primarily be conducted in collaboration with Dr. Davies-Peck, but successful applicants will also be
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into algorithms for the Lovász Local Lemma and related problems in distributed and parallel models. Research will primarily be conducted in collaboration with Dr. Davies-Peck, but successful applicants will also be
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to develop in-process measurement methods. You will collaborate with a diverse, international team to lead research projects integrating sensors, optics, mechatronics, and algorithms to achieve in-process
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AI and accelerating the development of Embedded AI systems and applications. The ANT doctoral candidates will design high performance distributed Embedded AI algorithms and systems under stringent
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Professor Andrei Krokhin. The aim of the project is to understand the mathematical structure of Promise CSPs that makes them easy or hard from the algorithmic point of view. This project is particularly
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QResearch, to generate new knowledge to drive improvements in patient care for a wide range of clinical conditions. This includes the development, validation of prediction algorithms and their implementation
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methodologies, algorithms and tools for data analysis and dissemination. As part of PROTECT you will interact with various scientist to transfer protocols, help develop research questions, to present results and
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. A typical candidate will have experience in the following areas: advanced AI algorithms (e.g., generative AI, diffusion models), human touch sensing and tactile sensor development, robotics control
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. A typical candidate will have at least two years of experience in the following areas: advanced AI algorithms (e.g., generative AI, diffusion models), human touch sensing and tactile sensor
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for coordinating grid-edge flexibility, and contribute to the development of a software platform for algorithm design, training and benchmarking. You should possess the following skills and experience