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skills in distributed machine learning, networked systems, data management, and/or software engineering are recommended for this position. The post requires strong programming and system development
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biotechnology, design, and engineering across Northumbria, Oxford, and Imperial, as well as start-ups and SME collaborators who are already bringing novel materials to market. Applicants should hold a PhD, or be
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Postdoctoral Research Associate Apply online Job number SST00275 School / Service School of Science & Technology Department Department of Engineering Location Tait Building Contract type Fixed-term
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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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Limited funding: The funds for this post are available for 3 years in the first instance. Applications are invited for a 36 month post-doctoral research associate position funded through the Natural
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independent study and training courses. It is essential that you hold a PhD/DPhil (or close to completion) in mathematics, statistics, physics, engineering, data science or a related discipline, and have
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are establishing a Cardano blockchain-based traceability portfolio through this position and another PhD studentship. Collaboration is central to the role and involves working with a multidisciplinary team of
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for learning preferences from data) and have proven experience with relevant software engineering projects. Informal enquiries may be addressed to either Steve Roberts (sjrob@robots.ox.ac.uk) or Mike Osborne
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We are seeking a full time Postdoctoral Research Assistant in Safe Machine Learning for Power Systems to join the Foerester Lab for AI Research (FLAIR) at the Department of Engineering Science
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experience: Essential criteria PhD awarded in Computer Science, Machine Learning, Biomedical Engineering, Mathematics, or a related subject area * First or Second-Class Honors in mathematics, physics