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design of experiments methods, based on Bayesian Optimisation. In addition, the team at Cambridge has its own high-throughput and robotics facilities which we use as a testbed in developing new ML methods
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probability, likelihoods and Bayesian analysis. We are also seeking individuals with a strong interest in public health. Key Responsibilities: Develop models that integrate different data types (e.g., serology
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the programme and exhibition. With a good knowledge of Black British History, they will identify objects, collections, and narratives to enable the Community Panel and Academic Lead to tell the stories they want
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demonstrate knowledge of Java (with familiarity of Python an advantage) and object oriented programming. An understanding of abstraction including familiarity with software design considerations is essential
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the group webpage (www.damtp.cam.ac.uk/user/gold/ ). Duties include developing and conducting individual and collaborative research objectives, proposals and projects. The role holders must be able
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delivering content for the programme with the Community Panel. They will be supported by the Project Curator, who will identify objects, collections, and narratives within CUL Collections that enable
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and/or university setting a fast learner, capable of planning, organising and prioritising project-related tasks to meet short-term and long-term objectives Impulse's mission is to bring together a
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institution, we are committed to excellence in education and research, and your role will be crucial in supporting these objectives. Responsibilities: Data Retrieval and Analysis: Gather, cleanse, and analyse
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, are essential. We are looking for a colleague who excels in a multidisciplinary team environment and is committed to working collaboratively to achieve the experimental objectives of the project. For an informal
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to supporting research grant administration and research related objectives in the Faculty of Education, whilst also supporting other institutions across the School of the Humanities and Social Sciences as part