18 parallel-processing-bioinformatics Postdoctoral positions at University of Cambridge in United Kingdom
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process, adapting the technology to meet industrial requirements. This will involve kinetic and mechanistic studies to optimize catalyst performance; scale-up, process intensification and adaptation
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data, annotate and proofread automatically segmented reconstructions of neurons, develop open source tools for data analysis/processing, and perform neuron morphology, connectivity, graph/circuit
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. A background in neurobiology, anatomy and a very strong quantitative preparation (with extensive experience in bioinformatics/computer science) will be essential. Prior experience with Drosophila
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an advantage: Characterization of transgenic rice plants (Single-cell) transcriptomics approaches Bioinformatics analyses of large datasets Molecular biology techniques Plant physiology techniques Start date as
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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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main coastal wetlands - tidal marshes, mangroves, and seagrasses. When applying please pay special attention to the personal specifications as these form the basis of the selection process. Please
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accomplishments and future research interests. Contact information for three references. For queries relating to your application or the application process, please contact Professor Matthew Gaunt via email on
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about the application process, please contact the School's HR Team on mmllpersonnel@admin.cam.ac.uk . The closing date for applications is midnight (BST) on Sunday 15 June 2025. Interviews are planned
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already) and apply online. If you have any queries regarding the application process please contact Anastasia Nezhentseva. Email: an286@cam.ac.uk Telephone: (0)1223 330117 Please quote reference PF45896