67 finite-element-methods Postdoctoral positions at University of Oxford in United Kingdom
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, delivering tested methods, and creating algorithms to expand MMFM capabilities across domains like cardiology, geo-intelligence, and language communication. The postholder will help lead a project work package
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lab has developed the OrthoFinder comparative genomic methods. OrthoFinder has become widely-used in comparative genomics research, it powers many popular databases of online genomic information, and
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months. The project involves the scale-up of new hierarchical metal oxides and hydroxides and is funded by the UCSF (Oxford University Challenge Seed Fund). Find out more about the O'Hare research and
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discoveries on the electrosolvation force. The project will use a range of optical methods to examine the interactions in colloidal and molecular systems and relate the experimental findings to theories
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the project will focus on developing a thermal water splitting process based on complex transition metal oxides, and then studying the kinetics of the process to facilitate the design of a reactor to integrate
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continuing tradition of excellence in the subject. The Professor will be expected to provide outstanding research leadership in statistical methods development, bringing with them a vision for the discipline
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University of Oxford’s continuing tradition of excellence in the subject. The Professor will be expected to provide outstanding research leadership in statistical methods development, bringing with them a
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nanotubes, enables the exploration of thermodynamic processes at the nanoscale. Carbon nanotubes serve as exceptional nanomechanical resonators due to their low mass, high stiffness, and quality factor
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of advanced X-ray methods to explore chemical, crystallographic and morphological changes that drive battery performance loss. You should possess a doctorate in a relevant engineering or physical science
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focus on ambitious, ‘blue sky’ research for novel methods development relevant for drug discovery analysis pipelines, trial design and operational efficiency. Led by Professor Chris Holmes, and with