14 postdoc-image-processing 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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imaging data - Developing new methods for inference of copy number alterations from single-cell DNA sequencing data - Analysing patterns of single-cell copy number variation to identify mechanistic
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Award to proofread, annotate, and analyse the first mosquito brain connectome, with a focus on the chemosensory circuits involved in human host-seeking. Applicants will work with electron-microscopy image
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a series of high-resolution FRET biosensors to track such dynamics for gibberellin, abscisic acid, auxin and salicylic acid in living plants. The Jones group combines imaging of FRET biosensors with
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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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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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connectomics data is desirable but not essential. The successful candidate will join a team based in Zoology with 10 team members, carrying out data processing and analysis on computer-assisted neuronal
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, especially the SOCRATES code, is highly desirable. Experience interpreting large model datasets or observational datasets using software such as Python, R or Matlab and experience running computer code on HPC
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involves computer simulations of catalytic and environmental interfaces, aiming at reaching fundamental new understanding of elementary processes at such interfaces. As part of our work, we also seek
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system (if you have not already) and apply online. If you have any questions about this vacancy or the application process, please contact Dr Abigail Moffett (am3285@cam.ac.uk ) Please quote reference