207 algorithm-development-"Multiple"-"Prof" positions at University of Nottingham in United Kingdom
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We are seeking to appoint a Clinical Research Fellow who will have specific responsibility for research and for developing research objectives and proposals for the Digital Cancer Screening Research
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a variety of machine learning algorithms trained on these data and, most crucially, will develop and implement techniques for computing the uncertainty in the prediction. The algorithms developed in
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-or-leave decisions, but how we make them is not well understood. The goal of this project is to find out if there is common decision algorithm for leaving across species and what that algorithm is. You will
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Technical Services Community. This role will be based within the School of Medicine Technical Team at the Royal Derby Hospital site, Derby. A highly skilled and dynamic group supporting multiple buildings
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We seek to recruit a Research Associate/Fellow to join our team developing a groundbreaking technique based on autofluorescence (AF) imaging and Raman spectroscopy for detection of positive lymph
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Integration at the University of Nottingham's School of Medicine. You will be responsible for shaping and overseeing the strategic development, integration, and advancement of the Science and Innovation theme
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workspaces under positional restrictions. Develop smart control algorithms that will allow the robotics end-effectors to communicate with the central control system and coordinate tasks with other end
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precision Mechatronics systems and algorithms. Ability to develop kinematic and/or dynamic analysis of Mechanical/Robotic systems. Ability to implement control and kinematics with hardware-in-the–loop
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the Midlands. You will be experienced in working in a collaborative partnership and balancing the needs of multiple stakeholders. You will be able to develop effective relationships with stakeholders and able
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preparing equipment for use across the University. You will be expected to manage multiple priorities in a fast-paced working environment, so good time management will be critical. As the successful candidate