29 assistant-professor-computer-"https:" "https:" "https:" "https:" positions at University of Glasgow
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focus on performing analysis of the data and computational modelling of neuro-circuits. The project will be carried out with Professor Daniele Faccio at the Advanced Research Centre, University of
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, Veterinary and Life Sciences Graduate School. Full details of the programme are available at http://www.fom.gla.ac.uk/RDTC/. Regular attendance and contributions to research meetings of the research group is
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publications and research proposals as well as help the PI manage the project as opportunities allow. See related lab publications below. The School of Psychology and Neuroscience (SPN) is a world-class research
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we will invest in you too. Please visit our website https://www.gla.ac.uk/explore/jobs/ for more information. Informal Enquiries should be directed to Professor Rodrigo Gutierrez Quintana
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applications and publications of impactful papers. For this post the applicant will develop their programme of research under the supervision of Professor Mhairi Copland and other senior academic staff
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that veterinary career development is supported, and to assist with recruitment to the University’s EBVS® approved Residency and our own Masters Programmes, the one-year duration will remain the normal duration
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Research Assistant COLLEGE OF MVLS SCHOOL of Cancer Sciences GRADE 6 Job Purpose You will contribute to the CRUK-funded programme, IAMMED-Meso, working with Professor Daniel J. Murphy and the
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Professor Carl Goodyear. Main Duties and Responsibilities 1. Assist and contribute to the groups research objectives, in collaboration with other bioinformaticians and researchers, and in accordance with
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Assistants to support the development of the theoretical framework that will underpin Civic Finance. More specifically, the two Research Assistants will support the review of relevant academic literature
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Job Purpose Working with Professor Surajit Ray, you will contribute to several projects involving the development of statistical models and deep learning framework for multimodal and dynamic medical