16 assistant-professor-computer-science-data "https:" "https:" positions at University of Sheffield
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Further Information Grade 7 Salary £38,784 pro-rata Work arrangement Part-time 0.6 Duration 2 years Line manager Professor of Health Outcomes Research Direct reports None Our website https
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Engineering Director Our website https://sheffield.ac.uk/eee For informal enquiries about this job, contact Professor Chee Hing Tan, Professor of Opto-Electronic Sensors: on c.h.tan@sheffield.ac.uk or 0114 222
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, learn standard techniques, and to solve specific integration requirements and connectivity problems. Assist the engineering/research team to acquire and interpret engineering data/results and help
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impact in academia and beyond. You will help the School of Economics achieve our objectives of providing a modern and dynamic curriculum that is attractive to students, and producing internationally
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Overview The School of Electrical and Electronic Engineering seeks to appoint a Lecturer in Electrical Machines and Power (equivalent to Assistant Professor), with expertise in one of the following
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within the School, the University and across the Nextrode consortium. There may also be opportunities to include experimental work, microstructural assessment, data science or other relevant areas. Main
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responsibilities Design, develop and refine experiments in translational neuroscience research in order to obtain reliable data. Assist in experimental medicine studies and other clinical trials as required. Assist
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of Computer Science, University of Sheffield. Prior to this he was an Assistant Professor at the Department of Computer Science and Engineering, Indian Institute of Technology (IIT) Kharagpur. See his personal website
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Overview The School of Electrical and Electronic Engineering seeks to appoint a Lecturer (equivalent to Assistant Professor) within the School’s Information and Communication theme and to build
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subject such as a BSc in Psychology, Computer Science, Data Science, Health Informatics, or another health-related field (assessed at application). Experience of working with large, complex multi-variable