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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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the rehousing of the reserve collections. Furthermore, you will look after visitors to the collection, respond to inquiries from scholars and the public, deal with image requests, advise on acquisitions and
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and 4-year PhD programme, the van Geest MultiOmics facility, a NIHR Clinical Research Facility including a dedicated 3T MRI research scanner (BHF funded Siemens Vida with multinuclear capability) and
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for Translational Informatics ( www.ctiuk.org ) and actionable analytics theme of the recently awarded Health Data Research UK (HDR UK) London site. Major funding has been awarded by the Office for Life Sciences
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for Applied Bioinformatics (HAB) is the Faculty’s focal point for computational biology, delivering bespoke bioinformatics support and training across genomics, transcriptomics, spatial biology and AI/ML
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computer vision, chemometrics, biophysics, bioengineering. Preference will be given to candidates with a demonstrated experience in applying statistical and machine learning to real life problems, using a
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Applications are invited for the above fixed-term, full-time post working in the School of Computer Science and Engineering at Bangor University. Duties will include contributing to an exciting
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, including subcellular fractionation, live-cell imaging, RT-PCR and ELISA techniques. Successful candidate will become a member of the CAPKR research team and be fully involved in a project entitled “Improving
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departments: Cardiovascular Imaging, Cancer Imaging, Early Life Imaging, Imaging Chemistry & Biology, Biomedical Computing, Surgical & Interventional Engineering, Imaging Physics & Engineering and Digital Twins
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or solar-planetary science, with demonstrable expertise in imaging or spectroscopy of auroral emissions. Strong programming skills (e.g., Python or C++) and experience with space-based data analysis