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generative modelling, and graph neural networks. Additional responsibilities include developing research objectives and proposals; presentations and publications; assisting with teaching; liaising and
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design of experiments methods, based on Bayesian Optimisation. In addition, the team at Cambridge has its own high-throughput and robotics facilities which we use as a testbed in developing new ML methods
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modern Bayesian modelling frameworks such as Stan, Turing.jl, and PyMC, including automatic differentiation frameworks, MCMC sampling algorithms, and iterative Bayesian modelling. Special attention will be
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probability, likelihoods and Bayesian analysis. We are also seeking individuals with a strong interest in public health. Key Responsibilities: Develop models that integrate different data types (e.g., serology
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objectives; - an annual review to ensure you are on track and create a personal development plan; - fortnightly team meetings/lunches, to foster your understanding of the work undertaken across the School
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:4513; and Halcrow et al., 2022, Cells, 11:3337). Candidates should have a PhD and a track record of success in molecular and cellular biology research. Significant experience in human cell culture
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dynamics for fluid dynamics. Duties include developing and conducting individual and collaborative research objectives, proposals and projects. The role holder will be expected to plan and manage their own
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#-#Used to track user’s interaction with embedded content. Maximum Storage Duration: SessionType: HTML Local Storage __Secure-ROLLOUT_TOKENPending Maximum Storage Duration: 180 daysType: HTTP Cookie
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postdoctoral researchers, research assistants, technical staff and PhD students. The post holder will be expected to create a strong track record of publishing high impact papers and disseminate the results
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, globally consistent map of the world's remaining natural and human-modified habitats, classified by a robust ecological typology. There is also no reliable system for tracking habitat change