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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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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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thermal load in superconducting quantum circuits. The successful candidate will develop new characterization and benchmarking techniques for quantum algorithms on devices at or beyond the 16-transmon scale
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world-leading partnering institutions and companies and a cohort of 18 PhD Researchers; the ANT project will design high performance distributed Embedded AI algorithms and systems under stringent resource
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. Verification of these models and algorithms will be conducted using benchmark datasets and real-world tests in diverse aquatic environments, necessitating a willingness to engage in experimental work for real