113 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof" "UNIS" Postdoctoral positions at University of Oxford
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We are seeking a Postdoctoral Research Associate to support our projects to understand membrane evolution. The aim of this project is to use molecular dynamic simulations to understand membrane
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development to work under the supervision of Dr Alistair Farley, Scientific Lead for Chemistry, with a dotted line to Professor Timothy Walsh. The position is based at the Ineos Oxford Institute, at the Life
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also develop predictive models capable of characterising disease progression and forecasting individual outcomes in multiple sclerosis under different treatment exposures. You will contribute to delivery
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navigation algorithms and machine learning models on physical robot platforms. We are particularly interested in candidates with expertise in generative AI and curriculum learning applied to robotics, as
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and method development, is highly beneficial. You will be expected to manage your own academic research and administrative activities. This involves project management, to co-ordinate multiple aspects
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movement; (iii) generate benefits for both society and the environment by guiding possible mitigation strategies; and (iv) drive technological progress through the development of novel algorithms
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development (ECD) and raise global visibility of climate impacts on ECD. The post holder will be a member of Climate Research Programme at ECI in SoGE, reporting to Dr Neven Fučkar, Senior Researcher, and there
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months. The project involves instrument development and studies of electron-induced processes in a variety of small to medium sized molecules, and is funded by the ‘New Directions in Molecular Scattering
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project management, to co-ordinate multiple aspects of work to meet deadlines. You will be responsible for preparing working theories and analysing qualitative and/or quantitative data from a variety of
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period of up to 12 months in the first instance, with the possibility of an extension, subject to funding. The project entails the development of a kinetic Monte Carlo (KMC) framework for the simulation