75 assistant-professor-computer-science-data Postdoctoral positions in United Kingdom
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skills (e.g. Python, Julia) to merge concepts of chemical engineering, operations research and computer science, as you may also need to deploy machine learning to support data analytics and complex
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team, analysing and interpreting spatial transcriptomic data. You will work on the Colorectal Cancer - Stratification of Therapies through Adaptive Responses (CRC-STARS) programme, developing and
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position in computational biology combines the development of novel computational methods involving control theory with practical systems modelling, simulation, and data analysis, applied first and foremost
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We have a new and exciting Postdoctoral Research Assistant position available within the CRC-STARS spatial biology team, analysing and interpreting spatial transcriptomic data. You will work on the
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international partners This is part of your personality: PhD / Doctorate in Geoinformatics/GIScience/Spatial Data Science or related fields, e.g. Geography, Cognitive Science, Information Science, Philosophy and
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About the role We are seeking a full-time Postdoctoral Research Assistant to join the Hypersonics research group at the Department of Engineering Science, Osney. The post is fixed for 19 months with
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communication and coordination help to protect mammals from blood loss. For more information, please contact: Contact Name: Prof Ingo Bojak Contact Job Title: Professor in Health and Computational Neuroscience
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Assessment (HEHTA) Research Group. The successful candidate will contribute to/make a leading contribution to HEHTA’s programme of research within the Living Laboratory . They will work with the principal
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for this post. The successful candidate will be required to develop a personal research programme in theoretical cosmology (which may include numerical modelling and/or data analysis), interacting with faculty
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of past societies, working on the Science, Society and Environmental Change in the First Millennium CE (SSE1K) project ( ). The project is funded by the ERC and began in 2023. It is led by Professor Helen