5 modelling-complexity-geocomputation Fellowship positions at University of Manchester
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interdisciplinary project you will also build a stage to allow subsequent characterisation of these MDa. complexes via microscopy. You will develop standard operating procedures for the instrument using, large
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will join a team of probabilistic modellers and machine learning researchers developing new collaborative AI principles and methods. This is an exciting topic which inspires new problems in fundamental
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will make one discovery-scientist post. You will have a track record working on normal breast tissue in vitro modelling and already have an established network of local collaborators, including clinical
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be shared internally within the national security community. Fellows will therefore gain experience of two very different research environments and of negotiating the complexities of working between
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, within the School of Health Sciences. This is a 1.0 FTE post, for a maximum of 44 months (dependent upon appointment date and probationary review). There is opportunity for a hybrid model of office and