156 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" "https:" "https:" uni jobs in United Kingdom
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emerging offshore wind sector needs. You will receive in-house training on multiphase DEM–LBM modelling and code development using the HYBIRD framework within the Geotechnical Engineering Group. Additional
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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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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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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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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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on an existing experiment design. This will allow the student to familiarise themselves with the relevant Physics, literature, Fortran code, Python analysis tools, and simulation setup while providing a valuable
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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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& 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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-processing. Regulatory Understanding: Ability to follow and apply industry standards and codes of practice. IT Proficiency: Expert skills in relevant specialist software and a strong IT background to tackle
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: Applications accepted all year round Details Mutation in the non-coding region of C9orf72 gene represents by far the most common genetic cause identified for amyotrophic lateral sclerosis (ALS), a rare, lethal