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long non-coding (nc) RNA molecules produced from eukaryotic genomes in addition to protein-coding mRNA. Mutations in non-coding regions of the genome and altered expression of ncRNAs underpins a number
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of quantum codes such as permutation invariant codes and some bosonic codes. This PhD will explore the theoretical application and optimisation of these quantum codes for quantum technologies, such as quantum
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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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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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NERC. Person Specification We seek an enthusiastic individual with a degree in geoscience, physical sciences, or computer science. Numerical literacy and experience with coding tools (Matlab or Python
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(optional). Person specification: Prior experience in computer coding (e.g., Python, SLiM), AI modelling, and understanding of evolutionary or conservation genetics / genomics is desirable. Good teamwork
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, visualisation and interpretation using coding (Python or Matlab) and learn to use a 1-dimensional ocean biogeochemical model. You will collaborate with the dynamic Rothera and POLOMINTS (http://polomints.ac.uk
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observations and modelling of the physics and biogeochemistry of Antarctic shelf seas. You will gain experience in computer coding, statistics for environmental science, working with and piloting autonomous
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numerical modelling of weather systems and the climate system is essential, while some experience in coding is desirable. Entry Requirements At least UK equivalence Bachelors (Honours) 2:1. English
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genetics/genomics Experience in bioinformatics/coding preferred Fieldwork skills (optional) Entry Requirements At least UK equivalence Bachelors (Honours) 2:1. English Language requirement (Faculty