313 algorithm-development-"Multiple"-"Simons-Foundation" positions at University of Cambridge
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on the development of user-friendly cancer risk prediction tools (see www.CanRisk.org ) for breast, ovarian and prostate cancer funded by Cancer Research UK. The post-holder will lead the team
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dispersion - and develop a system to disperse the particles. The project will explore the options for dispersion and the options for nozzle design and whether substantial additional air supply is needed
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University Libraries Professional development and training opportunities Healthcare benefits* *subject to completion of probationary period Our beautiful grounds are generally open to visitors without
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. We advocate for an inclusive 'hands-on' leadership approach that incudes mentoring and developing a dedicated and eager team. Besides managing your team, you will lead on all projects concerning
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at the Department of Chemistry at the University of Cambridge (https://www.ch.cam.ac.uk/group/michaelides ). The projects will involve the development and application of approaches for treating complex intermolecular
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needed to succeed in today's AI-driven economy. In this role, you will support the ongoing delivery of the DSCA, contribute to the launch of a second Accelerator, and help develop future initiatives
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The Cardona Lab is a neuroscience research group at the Department of Physiology, Development and Neuroscience at the University of Cambridge. We are looking for a Senior Microscopy Specialist to
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Department of Chemistry, University of Cambridge. The research will be conducted in the group of Dr. Pawel Dydio (https://www.ch.cam.ac.uk/person/pd552 ) and will focus on developing novel strategies
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The Office of the School of the Physical Sciences is seeking an exceptional and highly organised Industry Engagement Administrator to provide dedicated support to the Industry Training Development
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, at the University of Cambridge, UK. The Postdoc will work together with a team of students and research collaborators on the development of learning-based discovery of robot task/environment designs