203 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" positions in United Kingdom
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is converted to biomass. Chloroplast has its own genome, which codes for several key proteins involved in photosynthesis. Thus, accurate replication of the chloroplast genome is vital
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Full Time / Fixed Term for 18 months The closing date for applications is 23.59 on 8th march 2026 Interview dates : week commencing 13th April By reference to the applicable SOC code for this role
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to carry out high-performance numerical simulations using our in-house CFD code, extract physical insights from simplified flow models, and characterise synchronisation thresholds and the robustness
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this appointment. Key attributes of the successful applicant include: Strong coding skills (e.g., MATLAB) Advanced statistical experience An excellent publication track record Experience of conducting research with
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and the safety implications arising from these interacting processes. You will use and extend PyBaMM, which is an open-source Python-based battery modelling framework (https://pybamm.org
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research supervision, during this appointment. Key attributes of the successful applicant include: Strong coding skills (e.g., MATLAB) Advanced statistical experience An excellent publication track record
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to the discipline, through open data, open code, open educational resources and practices that support replication. Experience Essential E1 Experience of making distinct contributions to identifying and pursuing
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innovation, research methods, systematic literature reviews, ethics and integrity, and research impact Technical training e.g. scientific computing, coding, materials and devices, prototyping and product
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. Ensure business compliance by regularly reviewing and delivering Code Red training to all Membership Assistants, ensuring the team is fully trained in emergency situations. 11. Ensure LMS and POS are up
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work on the project “Assessing the role of rare germline non-coding genetic variation in breast cancer susceptibility using whole genome sequencing data”. This project will investigate the contribution