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Department, University of Cambridge. The successful candidate will have strong experience in modelling and simulations of biomolecular condensates and will hold (or be about to obtain) a PhD/DPhil in chemistry
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experience in this field is essential. They will also make use of a variety of modelling/simulation methodos to rationalise experimental results; therefore, experience with density functional theory and/or
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and simulations for assessing clinical outcomes of aortic valve replacement procedures. Research will be focused on valve thrombosis, coronary obstruction, and structural implications of valve-in-valve
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on this opportunity including Further Particulars and the Person Specification can be found HERE. To apply, please submit a completed application form and send it along with a copy of your CV and a covering letter
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process in accordance with its data protection obligations and its Data Protection Policy. Please click here for a copy of our Privacy Notice for further information about how we process your personal data
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the College will process in accordance with its data protection obligations and its Data Protection Policy. Please click here for a copy of our Privacy Notice for further information about how we process your
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hearing from applicants from the wider charity sector as well as higher education fundraisers. See below to download a copy of our candidate pack along with an application form. The College actively
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. Please click here for a copy of our Privacy Notice for further information about how we process your personal data. Applications must be received by 5.00pm on Thursday 6th June 2024. Incomplete
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with its data protection obligations and its Data Protection Policy. Please click here for a copy of our Privacy Notice for further information about how we process your personal data. Applications must
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sciences to share knowledge and experiences that help advance the use of machine learning in the sciences. Software development is a highly valuable resource that includes modelling, simulation and data