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engineering, or related disciplines who are passionate about applying machine learning to real-world clinical challenges. The successful candidate will lead the development and validation of predictive models
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About us King’s College London is one of the UK’s leading research institutions, committed to excellence in science, engineering, and healthcare innovation. This position is based within
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Development for more information. About you: To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in science and technology studies
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candidate will have a first-class degree and PhD in Mechanical Engineering, Physics or relevant fields. They will have experience in computational research in the field of the project, with a strong
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with a PhD in Engineering (or close to completion) may apply. You will be responsible for: Design of the first reconfigurable robotic matter in collaboration with world-leading universities and
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for research, education and clinical translation in oral and craniofacial health. Bringing together experts across basic science, engineering, clinical practice, and population health, FoDOCS fosters a
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collaborative research environment. Education, Qualifications and Experience We are looking for outstanding candidates with a PhD in physics, electrical engineering, applied mathematics, computer science, or a
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Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers
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period of up to 12 months in the first instance, with the possibility of an extension, subject to funding. The project entails the development of a kinetic Monte Carlo (KMC) framework for the simulation
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The Mobile Robotics Group (MRG) at the Oxford Robotics Institute (ORI) in the Department of Engineering Science at the University of Oxford is seeking exceptional candidates for a full-time