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automation—specifically motion planning, path optimization, sensor fusion, or robot learning—ideally with ROS or embedded systems experience; proficient in written and spoken English; good communication
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machine learning, Computer vision, Swarms, Autonomous Robots, hardware security, and Embedded systems development is desired. The successful applicant will work on various projects on robotics and computer
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family friendly, inclusive employment policies, flexible working arrangements, and campus facilities. Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments
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balance and family friendly, inclusive employment policies, as well as flexible working arrangements. Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes
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Raman’s cardiovascular research team. This role is embedded within a cutting-edge programme focused on integrating high-dimensional datasets, including advanced cardiac MRI (oxygen-sensitive, metabolic, and
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embedded systems and hardware engineering teams to integrate AI models into the BMS. Optimize AI/ML pipelines for resource-constrained environments, including edge AI applications. Guide PhD students and
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Raman’s cardiovascular research team. This role is embedded within a cutting-edge programme focused on integrating high-dimensional datasets, including advanced cardiac MRI (oxygen-sensitive, metabolic, and
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academic medicine, and the continuous pursuit of knowledge, is at the center of everything we do at the Medical College of Wisconsin (MCW). As a Postdoctoral Researcher you will be a motivated individual and
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algorithms is desirable. About the Department This post is within the School of Engineering and Materials Science, a large School with 108 academics, more than 250 PhD students and over 2500 undergraduate
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of work life balance and family friendly, inclusive employment policies, flexible working arrangements, and campus facilities. Queen Mary’s commitment to our diverse and inclusive community is embedded