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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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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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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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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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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
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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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the team, including our training courses (https://science.ai.cam.ac.uk/resources ), study groups and lecture courses such as Machine Learning and the Physical World and Advanced Data Science (https
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project will delve into the molecular details of this regulatory system, its physiological roles, and its conservation across bacterial species. For more information please see here : https
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neurons of its nervous system. A major technique mastered in the lab is large-scale volume electron microscopy, in both FIBSEM and TEM, plus associated image processing methods for aligning and contrast