237 coding-"https:"-"FEMTO-ST"-"CSIC"-"P"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" positions in United Kingdom
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, through open data, open code, open educational resources and practices that support replication. Desirable: F1 Experience of ultrasound imaging research systems either relating to their operation or
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MidlandsCityBirmingham Postal CodeB15 2TTGeofield Contact City Birmingham Website https://www.bham.ac.uk/schools/engineering Street Edgbaston Postal Code B15 2TT STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn
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verification and Large Language Model (LLM) safety, focusing on extending state-of-the-art logic-based automated reasoning tools such as ESBMC (https://github.com/esbmc/esbmc ) to address safety and reliability
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evidence of ability to teach one or more of the following: composition for screen, creative coding for musical applications, harmony and music theory, Irish traditional music, songwriting. To be successful
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E8 Commitment to open research, as appropriate to the discipline, through open data, open code, open educational resources and practices that support replication Desirable: F1 Experience
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circumstances. Is comfortable using digital learning tools and platforms such as Python, VS Code and Tableau. Holds, or will soon complete a doctorate in Engineering, Physics, Computer Science, Mathematics or a
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-on developing new features, driving releases, and maintaining high standards of code quality. Alongside the technical work, you’ll represent BOMNADO externally — engaging with the open-source community through
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& analysis of experiments & drafting of papers. C5 Experience in undertaking independent research. C6 Commitment to open research, as appropriate to the discipline, through open data, open code, open
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University of BirminghamCountryUnited KingdomCityBirminghamPostal CodeB15 2TTGeofield Contact City Birmingham Website https://www.bham.ac.uk/schools/engineering https://hecustom.eu Street Edgbaston Postal Code
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Fluid Dynamics simulation code developed by our Project Partners at the Barcelona Supercomputing Center. The PDRA will improve and validate an existing model we have developed to simulate analogue dyke