56 structures "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" Postdoctoral positions at University of Oxford in United Kingdom
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statement, CV and the details of two referees as part of your online application. Please see the University pages on the application process at https://www.jobs.ox.ac.uk/application-process https
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are looking to improve the performance and resilience of feedstock crop plants ( https://www.nsf.gov/awardsearch/showAward?AWD_ID=2435360 ). About you As part of this consortium, the successful applicant will
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. Please see the University pages on the application process at https://www.jobs.ox.ac.uk/application-process The closing date for applications is 12:00 midday on 6 November 2025. It is anticipated
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for this position is April 1st 2026. The University of Oxford offers an attractive range of competitive benefits available to all staff for both work and personal life - https://hr.admin.ox.ac.uk/staff-benefits
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. The closing date for applications is 12.00 noon on Thursday 30 October 2025 Informal enquiries may be addressed to Prof Amro Awad: amro.awad@eng.ox.ac.uk Further information can be found at http
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includes the synthesis of inorganic compounds (as thin films, nanocrystals, powders or single crystals), characterisation (structural, optical, optoelectronic, chemical), and the ability to understand and
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the molecular structural dynamics and embedded chiral information in redox-active polycyclic aromatic hydrocarbons influence the emergence of novel photoluminescent properties. While the majority of objectives
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year. The project focuses on experimental investigation of structural and dynamic properties of colloidal monolayers driven out-of-equilibrium. The successful candidate will join an ambitious research
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to develop a program of work investigating how brains use internal models of task and world structure to enable flexible goal-directed behaviour. The experiments will involve recording and/or manipulating
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to work within one of, or across, the four research themes: Learning with Structured & Geometric Models, Low Effective-dimensional Learning Models, Implicit Regularization, and Reinforcement Learning