10 computer-science research jobs at Queen's University Belfast in Ireland-United-Kingdom
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The Centre for Data Science and Scalable Computing in the School of Electronics, Electrical Engineering & Computer Science (EEECS) at Queen’s University Belfast, is currently seeking to recruit a
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the Creative Ireland ‘Creative Communities on a Shared Island’ Programme. The post-holder will support the creative practice and public engagement strands of the project in the areas of interactive installation
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To be a highly productive, ambitious and collaborative member of the Hub on All Spectrum Connectivity (HASC), funded by the Engineering and Physical Sciences Research Council (EPSRC). Collaborators
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that you meet the following criteria: Have, or about to obtain*, a PhD in public health, epidemiology, computer science, biostatistics, engineering, geography, urban planning, or a related area (*must be
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related science Relevant research/industrial experience to include: Demonstrable experience in the use of Computational Simulation for the design or verification of functional and/or structural performance
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at Queen's University Belfast (School of Maths and Physics, Centre for Light Matter Interactions). About the person: We are looking for a researcher with a PhD or equivalent in Physics, Chemistry or related
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15 Apr 2024 Job Information Organisation/Company Queen's University Belfast Research Field Engineering Researcher Profile First Stage Researcher (R1) Country United Kingdom Application Deadline 29
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15 Apr 2024 Job Information Organisation/Company Queen's University Belfast Research Field Engineering Researcher Profile First Stage Researcher (R1) Country United Kingdom Application Deadline 29
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well as mechanistic studies at the research group led by Dr Anna D Krasnodembskaya at the Wellcome Wolfson Institute for Experimental Medicine. The successful candidate will work as part of a research programme that is
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, Geographical Information Science (GIS) or closely related areas. Candidates should have: Substantial relevant research experience in the use of spatial data analysis techniques to integrate multivariate