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understanding of the impact of food- and environment-related toxicants on human health. Innovative mass spectrometric methods are developed and applied to investigate exposure, metabolism, and toxicity. The lab
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responsible for the development and implementation of a case study in a US or European city (to be confirmed), using ethnographic and qualitative case study methods under a cross-cultural research design
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can be sent directly by email to Dr Kirsty McMillan (kirsty.mcmillan@liverpool.ac.uk). Formal applications should be online. Please include your CV and a personal statement outlining your interest in
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on the training strategies. In this project, we will investigate Bayesian methods to train deterministic SNNs (with deterministic activation functions) or probabilistic SNNs. Bayesian deep learning methods have
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of ethnographic or collaborative methods, as well as contributing to peer reviewed publications/presentations. You will also have excellent organisational skills and the ability to communicate effectively with
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challenge. We seek a senior computational biologist to apply these extensive in-house datasets toward the development of novel, domain-tailored machine-learning models and analytical methods. You will explore
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maternity services in England. To be considered for this role you will hold a PhD in social science or other relevant health related science. You will have experience of ethnographic or collaborative methods
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colleagues in the research group, as appropriate, to identify areas for research, develop new research methods and extend the research portfolio. To deal with problems that may affect the achievement
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systems with a particular emphasis on methods and systems that cope with imperfect knowledge and uncertain sensors. The research environment provides excellent opportunities for open-minded co-operation
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interpretability, explainability, and verification methods with an emphasis on white box methods and control techniques using causality. The post holder will work on projects that bridge technical AI capabilities