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to write up research work for publication in high profile journals. Experience of working with insects, preferably molecular/genetic approaches. Interview date: to be confirmed shortly after closing date
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About the Role Help tackle one of the world's fastest emerging drug-resistant fungal pathogens…An exciting opportunity is available for an ambitious postdoctoral researcher to join a multidisciplinary team investigating the emergence of Trichophyton indotineae (Ti) - a multidrug-resistant fungal...
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Quantitative Genetics for the recently established TEAM-AI project: Tools for Evaluating and Advancing Meaningful AI Adoption in Public Breeding Programmes, a global partnership between the Roslin Institute and
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of the elderly to space robotics. We are now looking for a postdoctoral researcher in quantum algorithms and optimization for Life Science applications. Are you as excited about quantum technology and its future
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. The Opportunity: We are seeking to appoint a talented researcher to the role of Postdoctoral Research Associate (PDRA) to work on The Leverhulme Centre for Algorithmic Life (LCAL). LCAL is a major new
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on the mathematical theory of deep learning as part of the joint NSF-EPSRC project “DMS-EPSRC: Asymptotic Analysis of Online Training Algorithms in Machine Learning: Recurrent, Graphical, and Deep Neural Networks
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advance the fundamental science of artificial intelligence and address some of the field's most important challenges. You will be responsible for researching and developing novel algorithms and techniques
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NSF-EPSRC project “DMS-EPSRC: Asymptotic Analysis of Online Training Algorithms in Machine Learning: Recurrent, Graphical, and Deep Neural Networks”. The research will involve collaboration with
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study at the forefront of chronic pain epidemiology, helping to validate an algorithm for identifying neuropathic pain using linked healthcare data. Your work will generate evidence on prescribing
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fundamental algorithms for producing policies for rich goal structures in MDPs (e.g. risk, temporal logic, or probabilistic objectives), and modelling robot decision problems using MDPs (e.g. human-robot