43 coding-"https:"-"https:"-"Data-driven-Materials-Modeling" PhD positions in United Kingdom
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your programme of study: search for the ‘Course Title’ using the programme code: “8100F” select ‘PhD Chemistry (full time) - Chemistry' as the programme of study You will then need to provide
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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: 8020F Research Area: Biology Select PhD
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for the ‘Course Title’ using the programme code: 8050F Research Area: Computing Science Select ‘PhD Computer Science (full time) - Computing Science' as the programme of study You will then need to provide
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for the ‘Course Title’ using the programme code:8210F Select History in the ‘Research Area’ field Select ‘PhD School of History, Classic and Archaeology (full time) – History' as the programme of study You will
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4-year PhD fellowship in the Research Programme - Deep Learning-Accelerated Crystallography Pipeline
. Job description Your key tasks are: Carrying out an independent research project under supervision, including deriving its mathematical basis and implementing results in code; Completing PhD courses
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, failure modelling of fibre-reinforced composites using FEM, use of Artificial Intelligence for surrogate models An interest or experience with structural optimisation Experience in scientific coding (e.g
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. Programming, coding, and experimental hardware skills (desirable). Strong analytical and mathematical capabilities. A passion for research and a willingness to learn. Excellent presentation, communication, and
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through the University’s Apply to Newcastle Portal In ‘Course choice’ tab, put ‘Postgraduate Research’ in 'Type of Study', ‘Full Time’ in ‘Mode of Study’, ‘2026’ in ‘Year of Entry’, code ‘8420F’ in ‘Course
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. Programming, coding, and experimental hardware skills (desirable). Strong analytical and mathematical capabilities. A passion for research and a willingness to learn. Excellent presentation, communication, and
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/coding and experimental hardware skills are desirable. Strong analytical and mathematical skills. Passion for research and willingness to learn. Good presentation, communication and scientific writing