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for the ‘Course Title’ using the programme code: 8040F · Research Area: Civil Engineering · select ‘PhD Civil Engineering Water Resources (full time)’ as the programme of study You will then need
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Application’. Use ‘Course Search’ to identify your programme of study: Search for the ‘Course Title’ using the programme code: 8201F The Research Area is: Physical Geography Select PhD Physical Geography (full
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writing and implementing code alongside extracting information, trends, and patterns from large datasets. Topics to explore during this PhD project include: Investigating available software options Methods
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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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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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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