32 coding-"https:"-"FEMTO-ST"-"Prof"-"AMOLF" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" Postdoctoral positions at University of Oxford
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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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accretion-powered outflows, using hydrodynamics codes, theoretical calculations and/or the Monte Carlo radiative transfer code SIROCCO. The postholder will carry out research involving theoretical and
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of accelerator physics modelling codes such as Accelerator Toolbox or ELEGANT would be an advantage. The post-holder will have the opportunity to teach. This may include lecturing, small group teaching, and
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proof-of-principle repetition-rate and staging experimentation. The successful candidate will perform duties that include developing/using particle-in-cell computer codes hosted on local and national high
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to completion of) a PhD/DPhil in geotechnical engineering, along with experience in numerical methods, including the implementation of soil constitutive models in finite element code. You should have excellent
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to taking up the appointment. The research requires experience in electronic structure theory. Experience in R-matrix theory, quantum molecular dynamics, and the calculation of observables, as well as coding
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experimental design • Combining models and combining data / Realistic simulation of clinical trials • Developing LLMs to utilise ODEs and ProbML as tools, Code synthesis for causality
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• Constrained experimental design • Combining models and combining data / Realistic simulation of clinical trials • Developing LLMs to utilise ODEs and ProbML as tools, Code