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involve developing methods for complex trait analysis, scalable Bayesian and deep learning approaches, or algorithms for inferring and analysing large-scale graph data structures. Experience in statistical
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at developing principled and practical methods which could be used in real systems. This research requires coping with challenges such as intractable probabilistic inference and robustness. The project will
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disrupt planning and inference in schizophrenia-related genetic mouse lines. Experiments will involve recording and manipulating prefrontal cortex and hippocampus activity in mice performing a newly
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available data and apply causal inference methods, including Mendelian randomisation, to identify candidate mechanisms linking circadian misalignment and sleep disturbances with cardiometabolic disease
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. Armed with this information, the post holder will use cutting-edge paleoclimatic modelling that incorporates nutrient cycling and carbon chemistry (HadOCC) to infer the distribution of potential feeding
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analyses of viral proteins using AI-based prediction tools will also be integrated to support evolutionary inference. This work lies at the intersection of evolutionary biology, bioinformatics, and data
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multiphysical constitutive models of cortical tissues degeneration during aging and injury; iii) utilize longitudinal medical image data to infer brain aging and injury mechanisms; and iv) study the potential
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Maiden Labs, the researcher will be part of the cross- disciplinary Mtb Grand Challenge Team. The researcher will analyze large bacterial genome collections, infer protein structures and identify and
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. This can involve IoT connected devices, physical sensors or other instruments, including non-intrusive methods and inferences from a variety of data sources. You should have some experience with experimental
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skilled support for lab members on a program of work investigating how impairments in world and goal models disrupt planning and inference in schizophrenia-related genetic mouse lines. Experiments will