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of computer simulation, Large Language Models, or machine learning etc, but a working knowledge of data science research processes from a relevant quantitative discipline, and strong coding skills are essential
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genome assembly, gene and transposon annotation, phylogenomics. Candidates must demonstrate proficiency in coding and analyses through open-access repositories (github or zenodo). This project will expand
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advantage. The PDRA will expand their research skills through working with multiple sources across the study region and its zones of contact as feasible. They should have knowledge of the relevant history and
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that requires accurate sub-grid models (e.g., Particle-in-Cell or Vlasov codes) coupled to a hydrodynamic simulation. In general, charged-particle transport is a non-trivial task, not only because of the large
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experimental design (active learning) • Combining models and combining data / Realistic simulation of clinical trials • Developing LLMs to utilise ODEs and ProbML as tools; Code synthesis
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- the English Case Study investigating SSVS pilot project courts. This includes data collection, including court observation and participants interviews, coding and analysis of data, the development of project
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we do. We also live by our Purpose and Values and our Staff Code of Conduct. At Durham we actively work towards providing an environment where our staff and students can study, work and live in a
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inclusion Equality, diversity, and inclusion (EDI) are a key component of the University’s Strategy and a central part of everything we do. We also live by our Purpose and Values and our Staff Code
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Trust Career Development award funded research programme “Unlocking the RNA Helicase Code: From Structural Insights to Therapeutic Strategies” led by Dr. Jagtap. The overall project builds upon our novel
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Equality, diversity, and inclusion (EDI) are a key component of the University’s Strategy and a central part of everything we do. We also live by our Purpose and Values and our Staff Code of Conduct