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of (or aptitude to learn) quantitative data analysis and coding (e.g. R). Or a background in computer or data science who can demonstrate their ecological or natural history knowledge. Candidates should have a
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algorithms, have excelled in tasks like computer vision, image recognition and large language models (LLM). However, their reliance on extensive computational resources results in excessively high energy
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methods in the past. A piece of comprehensive computer software, Pythia with the corresponding capabilities have been developed and tested successfully in several industrial applications. The software can
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Medical Research Council in microbiology and microbial bioinformatics. Our unique and comprehensive training programme empowers students to feel comfortable running sophisticated computer analyses alongside
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plasticity framework. Entry requirements: Essential Criteria: Applicants should have, or expect to achieve, at least a 2:1 Honours degree (or equivalent) in Mechanical, Material, or Computer Engineering. A
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automotive and motorsport courses at master’s level, and engaging in academic research and commercial consultancy. Interests are wide-ranging from mechanics and materials through to computer vision and self
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/Geographical Sciences, Engineering, Computer Sciences or related disciplines. Experience in computer programming (.e.g. Python, Fortran, C++, MATLAB, R...) or numerical modelling is highly desirable. Candidates
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sophisticated computer analyses alongside laboratory work and emphasises problem-based learning in microbial bioinformatics, professional development and research skills. All MMB DTP students undertake a
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microbiology and microbial bioinformatics. Our unique and comprehensive training programme empowers students to feel comfortable running sophisticated computer analyses alongside laboratory work and emphasises
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unique and comprehensive training programme empowers students to feel comfortable running sophisticated computer analyses alongside laboratory work and emphasises problem-based learning in microbial