25 parallel-processing-bioinformatics-"Multiple" Postdoctoral positions at University of Cambridge
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bioinformatics/computer science will be essential. Prior experience with connectomics data is highly desirable. Our group has developed an international reputation in this area and our tools have now been used in
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complex research projects involving multiple interdependent components. Experience in programming (python) and applying AI-assisted technologies to streamline research and analysis workflows is highly
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hundreds of samples from multiple independent marine transmissible cancer clones. The role provides an exciting opportunity to combine single-cell cancer genomics with molecular cytogenetics and statistical
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, stable isotope tracers, medical imaging). Experience with molecular biology techniques, stable isotope tracers methodologies, GCMS desirable. -Familiarity with bioinformatics and computational biology
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The candidate will conduct experiments using bioinformatic, molecular biology and synthetic biology approaches to investigate expression-limiting features of DNA shape, torsional stress, and nucleosome occupancy
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. Informal enquires are welcomed and should be directed to Professor Raymond E Goldstein at R.E.Goldstein@damtp.cam.ac.uk If you have any queries regarding the application process, please contact LE46716
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to Professor Guilio Del Zanna at gd232@cam.ac.uk If you have any queries regarding the application process, please contact LE46579@maths.cam.ac.uk Click the 'Apply' button below to register an account with our
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at ben.allanach.work@gmail.com . If you have any queries regarding the application process, please contact LE46560@maths.cam.ac.uk Limit of tenure: one year, the funds for this post are available until the end
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about this position may be directed to Dr Ali Meghji Email: am2059@cam.ac.uk If you have any queries regarding the application process, please contact: hr@hsps.cam.ac.uk Please quote reference JM46722
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laboratory-based experiments such as tissue processing for multi-omic studies, Western blotting, cell culture, and immunohistochemistry. The ideal candidate will be proactive, adaptable, and capable