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work on large-scale analysis of complex traits, including Bayesian machine learning and linear mixed model approaches for trait prediction and association in high-dimensional genomic datasets, as
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should have a proven track record demonstrating high quality research on topics which include, or are closely related to, the understanding and behaviour of new fundamental physics around extreme compact
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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
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, learning and decision making, you will have strong quantitative and programming skills along with a track record of designing neuromodulation and neuroimaging studies in healthy participants, of using
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of the Barron Group, including those conducting research in humans, including patient populations. The post holder will be part of the Barron Group based at the MRC BNDU and OxCIN. The Group has a strong track
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well as with industry scientists to agree clear task objectives, organise work and delegate as appropriate, keeping accurate and comprehensive records of work undertaken. You will contribute intellectually
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to completion) in atmospheric physics or related fields. Experience in atmospheric physics and track record in atmospheric modelling and the constraint of atmospheric models with observations are essential as
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ability to manage your own academic research and associated activities. You will have excellent communication skills including a track record of contributing to publications and presentations. Experience
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engineering, computer science or other field relevant to the proposed area of research. You should have a good track record of robotic publications/presentations in the field of healthcare, possess sufficient
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develop an analytical framework to achieve the grant objectives. The post holder will model ecological niches of feeding and breeding grounds in extant whale migratory species, for which occurrence data