393 computer-science-image-processing positions at University of Cambridge in United-States
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genotypes, clone generation using the Flp/FRT system and live imaging of Drosophila embryos and egg chambers. Homepage: http://www.gurdon.cam.ac.uk/research/stjohnston Applicants must have a Bachelors or
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-TIC. The role will facilitate cutting-edge scientific studies by providing expertise in biostatistics and informatics, guiding clinical investigators in research methods and contributing to the work
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at the Yusuf Hamied Department of Chemistry, University of Cambridge to work on the BBSRC grant "A Platform for Identifying GlycoRNA and Identifying Biases in RNA Pulldown". The role is to develop methods
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prestigious research universities, and in the heart of the Cambridge Cluster, the most successful technology entrepreneurship cluster in Europe. Cambridge Judge Business School is a highly ranked modern
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transcriptomics and histone mark profiling as well as by live imaging approaches. As part of this project, you will have the opportunity to gain computational data analysis skills. This studentship comes with
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Fixed-term: The funds for this post are available until 31 July 2029 in the first instance. The Mateo Sanchez lab, located in the Department of Chemistry at the University of Cambridge, is seeking
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skills. Main duties will include: conduct tissue-mechanical and imaging experiments using early avian embryos; acquire and process data; prepare reagents and samples; optimise protocols; program and debug
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Klenerman in the Yusuf Hamied Department of Chemistry, from October 2025 for up to 2 years. This is a collaborative project with Professor Clare Bryant in Clinical medicine and aims to image and characterise
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processing development and at least a BSc (Hons) degree in a numerate discipline (preferably Computer Science, Computer Engineering, or a science with a significant computing element). The candidate should
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exploring the limit of detection of transcutaneous and deep tissue imaging. The project is part of a major EPSRC-funded initiative, the Ubiquitous Optical Healthcare Technologies (UbOHTs) Programme Grant