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. Chemistry is a big Department with a large amount of plant and machinery. The duties will include installations, fault finding and diagnostic breakdown repairs to electrical items including mains circuits
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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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will 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
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or sensor arrays. Experience generating, processing and analysing large material property datasets including correlating between multiple techniques, or developing computational reconstruction techniques
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a large amount of undergraduate teaching in the areas of mechanics and materials. The teaching courses are supported by laboratory exercises performed by the undergraduate students, and these
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, manipulate large datasets, visualise data and perform numerical and statistical analysis is a requirement. Experience in handling 'big data', machine learning and working in distributed teams, is useful
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the effective use of Cambridge's financial resources by providing professional advice across the University and Group entities when appropriate. We supply financial information to the Council and other bodies
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or federated learning Strong communication and interpersonal skills Familiarity with MLOps tools Knowledge of privacy-preserving ML techniques Exposure to large-scale system designs or cloud/edge ML systems
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experimental medicine studies focusing on energy homeostasis and glucose/lipid homeostasis Data Collection & Analysis: Perform in vivo metabolic testing, blood sample and tissue analyses, and molecular biology
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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