563 parallel-computing-numerical-methods-"Simons-Foundation" positions at University of Oxford
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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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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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Previous applicants need not apply We currently have an exciting opportunity for an experienced Programme Data Governance Manager to join the Oxford University Clinical Research Units (OUCRUs
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atmospheric physics, meteorology, climate, numerical methods, and data science. The Research Associate will be proficient in programming/scripting (e.g., in Python, and/or R, and/or Matlab, and/or Bash script
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- Develop original numerical methods for facility simulation in presence of expansion waves - Demonstrate improved estimates of rate constants for two-temperature models - Contribute
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FTE, 30 hours per week minimum). About you You’ll have a PhD (or equivalent experience) in a numerically focused field and a strong background in epidemiological and statistical methods. You’ll bring a
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and leading a programme of numerical simulations relating to all aspects of our research on P-MoPAs; using particle-in-cell computer codes hosted on local and national high-performance computing
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Colorectal Cancer - Stratification of Therapies through Adaptive Responses (CRC-STARS) programme, developing and applying cutting-edge mathematical methods to spatial transcriptomics imaging data in order to
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services to 700+ department members and 800+ undergraduate students, as well as numerous visitors and collaborators. As Systems Administrator, within the IT Team of seven, you will collaborate in the longer
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of research: survey design, rapid and literature reviews, mixed methods data analysis, and content and text analyses of policies and programmes. This role includes research assistant work such as the day-to-day