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Field
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Institute Eligibility criteria You must have, or expect to achieve, at least a masters degree (e.g. MRes) with merit, or international equivalent in an appropriate subject, including: biomedical sciences
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motivated postdoctoral researcher to join our team working on a cutting-edge cyclic peptide mRNA display platform under the supervision of Professor Akane Kawamura (https://kawamuraresearchgroup.com ). You
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to Biochemistry, Biomedical Sciences, Pharmacology and Genetics. Applicants with experience in pluripotent stem cell or primary cancer cell culture, and/or organoid systems are particularly encouraged to apply
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relating to Biomedical Sciences or Neuroscience. MRes in a relevant discipline is advantageous. Applicants whose first language is not English require an IELTS score of 6.5 overall with a minimum of 5.5 in
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to have a proactive attitude towards problem solving independently. The student is expected that she/he has prior experience using machine learning tools before and be familiar with signal processing tools
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well as contributing to the day-to-day running of the lab. Candidates should hold a good BSc or MSc in Neuroscience, Cell Biology, Biomedical Science, Biochemistry, or a related discipline. Practical experience with
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biomedical applications, including targeted drug delivery and non-invasive medical treatments. The swimmers could take drugs right up to cancerous cells. This project offers hands-on training in cutting-edge
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advanced analytics to benefit every patient interaction, clinical trial, and biomedical discovery and to enhance public health. This PhD is funded as part of the HDR UK Inflammation and Immunity Driver
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electronics, embedded programming, signal processing, vibration measurement and analysis, maintenance engineering, and electro-mechanical engineering. Funding This is a self-funded PhD. Find out more about fees
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extensive training in computational and analytical methods, gaining skills highly valued in both academic and industry research. Qualifications: A strong background in qualitative sciences: biomedical