62 computer-science-programming-languages-"the"-"U.S"-"CERN" Postdoctoral positions in United Kingdom
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) programme . The above full-time post is available immediately within the Department of Health and Community Sciences, University of Exeter Medical School. This is a fixed-term position until March 2026. About
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-national ERC Synergy Programme, EndoTheranostics, aiming to revolutionise Colorectal Cancer Treatment. The post-holder will work in the School of Biomedical Engineering & Imaging Sciences, King’s College
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computing, computer architecture, programming models and high performance computing. These are your qualifications: Must-haves: Completed doctoral/PhD studies in Computer Science or a closely related field
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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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knowledge of the C++ programming language. Some knowledge of Linux is desirable. You should be willing to apply your skills to, and undertake training on, biological systems if you do not already have a
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Colorectal Cancer - Stratification of Therapies through Adaptive Responses (CRC-STARS) programme, developing and applying cutting-edge mathematical methods to spatial transcriptomics imaging data in order to
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, Electrical Engineering, or related field. A good command of English, both written and spoken. Good programming skills in languages such as Matlab and Python. A curious mindset. An interest in multi
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publication-ready habilitation. You hold courses independently in the Bachelor programme „Languages and Cultures of South Asia and Tibet” and the Master programme “Languages and Cultures of South Asia” within
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diagnosis of psychosis. The postdoctoral researcher will lead a research program focused on developing and testing the computational mechanisms of social inference, although will have plenty of scope, and
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- Stratification of Therapies through Adaptive Responses (CRC-STARS) is a CRUK strategic programme. Through multiomic and spatial biology exploration of temporally distinct samples from clinical trials and advanced