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cells of the immune system that kill virally infected and cancer cells. Our research combines cell biology and immunology, using genetic approaches including CRISPR and single cell RNA sequencing
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health, education, social care and social sciences. Our vision is that impactful research and enterprise will advance excellence in health, education, social care and social sciences locally, nationally
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Job Type Part Time Permanent Salary £44,263 - £54,395 per annum, pro rata Location Waterside Campus About the Job Part time 0.8FTE (29.6 hours per week) Interview Date: 22 July 2024 The Researcher Development Manager leads training and development for the University of Northampton’s postgraduate...
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will play a pivotal role in conducting experiments, analysing data, and interpreting results. You will engage in interdisciplinary research that combines structural biology, molecular biology, genomics
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for the subject area, demonstrated with a degree or relevant experience in computer science, engineering or related subjects. You should also be able to demonstrate practical experience in software development, applying
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degree in Molecular or Cellular Biology or Biochemistry and is keen to gain further laboratory research experience. The key responsibilities of the post are assisting with projects in the lab and
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or applied health sciences. The candidate will have experience of conducting online surveys including set-up, data collection, analysis and reporting study findings. Ideally, they will have experience of using
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for Sustainable Road Freight (SRF, www.csrf.ac.uk ) at Cambridge University Engineering Department. The research will be supervised by Dr. Xiaoxiang Na and co-supervised by Prof David Cebon, Director of SRF
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for Sustainable Road Freight (SRF, https://www.csrf.ac.uk/ ) at Cambridge University Engineering Department. The research will be supervised by Dr Xiaoxiang Na and co-supervised by Prof David Cebon, Director of SRF
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Applicants should have a graduate degree related to network/computer sciences or engineering with a specialisation in cyber security/applied AI/ML. Good simulation skills for proof of concept and programming