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first degree in engineering, computer science or a closely related field and a PhD degree in Machine Learning or a closely related area. - Knowledge of and active engagement in research on probabilistic
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candidate will have strong analytical skills and substantial experience in machine learning at scale. The Prorok Lab in the Dept. of Computer Science & Technology, has a variety of robotic platforms (aerial
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. Familiarity with standard design verification (DV) procedures and continuous integration (CI) setups would be beneficial. Knowledge of machine learning workloads and the design of machine-learning accelerators
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Possession of, or near completion of, a PhD in Law, or equivalent professional legal experience Ability to teach Land Law and at least one additional subject area Priority will be given to applicants who can
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completion, preferably with an application of their research in a real-world setting. Coding and software engineering proficiency will be expected if relevant to their experience, e.g. for machine learning
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), electrophysiology (EEG), interventional (TMS, tDCS) and neurocomputational (machine learning, reinforcement learning) approaches to understand the network dynamics that support learning and brain plasticity
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machine learning tools and working on Linux High-Performance Computing platforms would be highly desirable. This is a highly collaborative role and you will work with scientists and clinicians from other
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We are looking for an organised, proactive individual to help in this varied role. The Learning and Development Coordinator will work within the CAM Doctoral Training Partnership [DTP] to provide
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management studies. The Marketing group at CJBS comprises scholars specialising in marketing strategy and modelling, including econometrics, machine learning, and analytical approaches. In
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, at the University of Cambridge, UK. The Research Assistant will work together with a team of students and research collaborators on the development of learning-based control policies that facilitate