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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
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This is an exciting opportunity for an experienced, ambitious, talented, and highly motivated machine learning scientist to join our team within the Precision Breast Cancer Institute https
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Programme for Scientific Discovery (https://science.ai.cam.ac.uk/ ) is a high-profile University initiative promoting the use of machine learning to tackle major scientific challenges. Accelerate Science
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Applications are invited for a University Assistant Professorship in the broad area of Machine Learning. The successful candidate will join the Computational and Biological Learning Lab (CBL
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The van der Schaar Lab (https://www.vanderschaar-lab.com/ ) is a world-leading research group developing cutting-edge AI and machine learning technologies with the aim of driving a revolution in
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-correcting volumes followed by machine learning-based approaches to segment neurons and identify synapses to map the connectome. The role holder's duties will include teaching electron microscopy to graduate
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whilst learning great new skills. As a first point of contact for most students, you will be an integral part of our Student Services team of administrators who support our students from their very first
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interactions in the condensed phase and at surfaces, with a particular emphasis on the development and application of first principles and/or machine learning approaches. Research in the Michaelides group
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large-scale biomarker informatics. The role will require good skills in statistical analysis, machine learning, preferably in R and/or python, and LINUX/bash. You will be able to work independently and
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your apprenticeship is spent working. You’ll learn on the job by getting hands-on experience. What you'll do at work Key Responsibilities (i) Provide a high level of administrative support including