584 parallel-computing-numerical-methods-"Simons-Foundation" positions at University of Oxford
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for candidates to pursue an independent research programme in applied mathematics, and to join a large existing cohort of leading researchers on Fellowship programmes at the Mathematical Institute: https
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. In addition to the NIHR funded post available, locally funded posts may also be awarded in parallel, subject to funding and assessment against the stated criteria for the role. Applicants should be
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scientists, forming small teams focused on ambitious, ‘blue sky’ research for novel methods development relevant for drug discovery analysis pipelines, trial design and operational efficiency. Led by Professor
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level or equivalent, with substantial numerical content, eg mathematics, statistics, computer science, or physical science. You will have demonstrable programming ability using a statistical package (e.g
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scientific or numerate subject and have technical competency, including the ability to use a progamming language. You will also have excellent written and verbal communication skills with strong reasoning and
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permeability selection in variant membrane chemistries. This work will run in parallel to experimental analysis conducted at the University of Exeter using synthetic vesicles to observe permeability
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state-of-the-art single-cell and multi-omic platforms. You will also provide training, guidance and technical support to researchers within the institute, helping to integrate computational and
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take the initiative to find solutions to problems, or to progress key tasks. They will have an excellent standard of computer-literacy, and will have the ability to handle numerical data with confidence
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scientists, forming small teams focused on ambitious, ‘blue sky’ research for novel methods development relevant for drug discovery analysis pipelines, trial design and operational efficiency. Led by Professor
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for this post. The successful candidate will be required to develop a personal research programme in theoretical cosmology (which may include numerical modelling and/or data analysis), interacting with faculty