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superlattices (twistronics). The role will focus on developing and applying theoretical models and computational quantum chemistry and machine learning methods to uncover novel properties and phenomena in low
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The Fellowships Application is now Open Are you interested in using your skills in pure mathematics, data science or quantum information as part of a team working on exciting real world mathematical problems that help to keep the UK safe? Our 3 year Heilbronn Postdoctoral Research Fellowships...
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-photonic computing architectures; Silicon-photonic network architectures Machine Learning Algorithms/Systems: Experience in design and use of ML algorithms; Experience in using ML for designing computing
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” wherein messages including emotions are incorporated into the movements of collaborative robots. Key Responsibilities: Design, implement, and test real-time multi-objective motion planning algorithms
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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30 Aug 2025 Job Information Organisation/Company UNIVERSITY OF SURREY Research Field Computer science Researcher Profile First Stage Researcher (R1) Country United Kingdom Application Deadline 4 Sep
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of computer vision and machine learning. Previous experience of real time systems development in Python, OpenCV, PyTorch and deep learning are essential. Experience of C/C++/C#, TensorFlow would be beneficial
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the laboratories of Dr. Jason Rock in the Department of Ophthalmology and Immunology and Dr. Sören Müller in the Computational Sciences Center of Excellence at Genentech. The Rock lab combines in vitro and in vivo
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(PhD) (completed or near completion) in Human-Computer Interaction (HCI), Communication, Computer Science, Information Science, Psychology, or a related field. Proven track record with publications in
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About the role The main purpose of this position is to lead the computational and mathematical aspects of a BBSRC-funded project focused on engineering robust, modular, synthetic microbial