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on tumour structure. To lead this research as a doctoral student you will be passionate about using large-scale data to address important questions in cancer research, have extensive experience
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causally important. Triangulate your findings and explore immune subgroups of anxiety by leveraging large population cohorts with genotype and biomarker data. Longitudinal Birth Cohort Analysis (New Data
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of novel machine learning methods to analyse and interpret large-scale multimodal data using samples primarily derived from large clinical trials and studies. The role will also involve working closely with
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The Department of Chemical Engineering and Biotechnology is seeking a post-doctoral research fellow to step into the ongoing project. The project is part of a large collaborative research effort
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chemistry from key stage 4 through to university with direction from the senior project chemist and the assistant director of Isaac Science. They will be required to deliver online tutorials to both large
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online tutorials to both large (~500) and small groups (10) of students as well as prepare and deliver in person lectures. It is essential that candidates have a degree in biology or biochemistry and
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to university with direction from the assistant director of Isaac Science. They will be required to deliver online tutorials to both large (~500) and small groups (10) of students as well as prepare and deliver
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for the administration of a range of events, from regular weekly catering services and bookings to the delivery of large, complex events run throughout the year. You will be responsible for a series of administrative and
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generate and have access to clinical and immunological data as well as many large data sets, including spectral immune phenotyping, proteomics and single cell sequencing data (both spatial and droplet) and
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for industry partners. One of the primary programmes delivers training to enable the upskilling and reskilling of employees to handle complex large datasets using cutting edge statistical and machine learning