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Field
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The Medicines And Healthcare Products Regulatory Agency; | Canary Wharf, England | United Kingdom | 2 months ago
of CPRD's interventional research services. Responsibilities include defining the strategy and implementing standard methods and algorithmic approaches to data capture, transformation and export; undertaking
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to a net zero economy, electrical power systems are rapidly decarbonizing supply whilst electrifying carbon-intensive demand. There is therefore an acceleration in the connection of low carbon
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models such as Random Forest and Neural Networks to help understand and predict pairwise interactions between pollinators and plant species. - Software Engineering: integrate models into a standalone
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-performance computing and simulation-based inference (e.g. neural network emulators or nested sampling) Training will be provided in all aspects of the project, including computational statistics, stellar
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equipment, and have access to valuable industry data. The student will benefit from opportunities to present at leading international conferences. Additional training in software-defined radio, hardware-in
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. The postholder will also contribute to quantitative analyses, including survey data and secondary datasets (e.g. TIDES, UK-REACH, NHS CHECK, NHS staff survey) using statistical software such as Stata, R, MPLUS
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(e.g. APMS) with software such as Stata, R, MPLUS, or Python. The successful candidate will contribute to publications, reports and dissemination activities, present findings at seminars, meetings and
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Foldamers are synthetic helical oligomers that adopt stable secondary structures through mimicking the folding patterns of biological systems to generate biomimetic structures of well-defined size
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, which also includes PI Dr Field, postdoctoral researcher Dr Milan Terlunen, and Research Software Engineer Dr Nicolas Seymour-Smith. The PhD project will focus on the relationship between obscenity and
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Location: Central Cambridge PhD Studentship - Marie Curie network ON-Tract: Protein engineering of enzymes: in vitro directed evolution and machine learning-based elaboration of biocatalysis