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hours/week) funded until 31/03/2026 with a possibility of extension and is suitable for a Ph.D. student with relevant technical skills. Prior experience with medical imaging data and Python coding is
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marine sciences, biological oceanography, ecology, or computer sciences. Strong analytical, numerical and practical skills are essential. Experience in coding or applying quantitative methods in a
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Application ’. Use ‘Course Search’ to identify your programme of study: Search for the ‘Course Title’ using the programme code: 8856F Leave the 'Research Area' field blank Select ‘PhD in Process Industries; Net
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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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translation systems to explore and exploit the frontiers of the genetic code. The goal is to design and synthesize novel ncAAs, and incorporate them site-specifically into peptides and proteins using cell free
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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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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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, 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
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this programme. How to apply For information on how to apply, please see https://www.ncl.ac.uk/postgraduate/fees-funding/search-funding/?code=flood261 Contact Details bethan.davies@ncl.ac.uk
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-funding/search-funding/?code=flood265 Contact Details amir.fard@newcastle.ac.uk