95 coding-"https:"-"FEMTO-ST"-"L2CM"-"UCL"-"U"-"https:" PhD positions in United Kingdom
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Field
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Postgraduate Application’. Use ‘Course Search’ to identify your programme of study: · search for the ‘Course Title’ using the programme code: 8314F · select ‘PhD Geoscience (full time)' as the
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registered select ‘Create a Postgraduate Application’. Use ‘Course Search’ to identify your programme of study: · search for the ‘Course Title’ using the programme code: 8100F · select ‘PhD
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-performance computing (HPC) facilities and finite element codes. Project findings could have a notable impact on the deployment of green hydrogen infrastructure, as needed to achieve net-zero carbon ambitions
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Entry’ field Enter programme code 8420F in the ‘Course Title’ field Leave the ‘Research Area’ field blank Press ‘Search’ Select ‘PhD Biosciences (FT)’ Save selection In the ‘Further Details’ section: A
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, Bioinformatics, coding, experimental design, innovation and understanding the impact of your research. Note: You will need to successfully complete the first year to progress into your second year of studies
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techniques (geomorphic mapping, TruPulse, DGPS/drone surveys), engineering geology methodologies (slope stability, rock strength assessment), coding (python/matlab data analysis and modelling) and transferable
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code: 8856F Leave the 'Research Area' field blank Select ‘PhD in Process Industries; Net Zero (PINZ)' as the programme of study You will then need to provide the following information in the ‘Further
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. Candidates must have proven ability to work with large datasets, coding with Python/Fortran/C++ and ideally experience with high-performance computing. Applicants from an industry background are encouraged
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: Search for the ‘Course Title’ using the programme code: 8856F Leave the ‘Research Area’ blank Select ‘PhD in Process Industries; Net Zero (PINZ)' as the programme of study You will then need to provide
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, Psychology, or a related field, to be awarded before March 1st, 2026. Essential skills include an ability to code (e.g., Python, R) and interpret data, knowledge of machine learning and statistics, and a