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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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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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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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Are you an experienced Organisational Development or HR professional with a passion for driving meaningful change? Do you thrive in complex environments and have a track record of delivering large
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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
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, especially the SOCRATES code, is highly desirable. Experience interpreting large model datasets or observational datasets using software such as Python, R or Matlab and experience running computer code on HPC
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, health cash plan, life assurance, employee assistance programme, free on-site parking, free use of gym and swimming pool, free lunch plus other benefits commensurate with working for a large Cambridge
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. The Unit benefits from a number of large-scale, cross programme epidemiological studies with detailed datasets allowing a wide range of research from genetics to public health. Highly experienced information
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analysis, and the handling of large datasets is essential. Proficiency in ex vivo tissue analysis, cell and organoid culture, and gene targeting (e.g., CRISPR/Cas9) is highly desirable. Additional experience