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explore routes for commercialising certain features of DeLTA, potentially resulting in a spin-off company. About you You should possess expertise in Python and experience in software management and release
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the relevant literature, and are proficient in Python and common ML frameworks. What you will do You will design and evaluate learning-based methods for navigation and perception, develop and analyse
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strong computational skills (e.g. R, Python, MATLAB). A solid understanding of infectious disease genetics and evidence of high-quality research output are essential. Applications from candidates who have
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, or a related quantitative field, with strong programming skills (e.g. R, Python) and proven experience in analysing large-scale sequencing data. Expertise in phylogenetic analysis, infectious disease
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in AI and machine learning – from classical approaches to large language models. You are proficient in Python and key ML libraries (e.g. scikit-learn, PyTorch, LLM APIs), and you have a track record of
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Lead the design and integration of test equipment Create analysis software to interpret test results (using Python, Matlab, or similar) Conduct tests, analyse data, and validate instrument performance
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of agent-based and/or continuum modelling, analysis and simulation. You will have experience of programming in Python and C++, or demonstrated ability to rapidly acquire fluent knowledge of new programming
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experience of programming in Python, or demonstrated ability to rapidly acquire fluent knowledge of new programming languages, libraries, and platforms. Experience of close collaboration with researchers in
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Multiphysics software (COMSOL and/or Abaqus), python/matlab coding and Molecular Dynamics Simulator (LAMMPs). 4. Publications in mechanical metamaterials, soft robotics, or related area in peer-reviewed
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knowledge of programming in R and/or Python. You will be self-motivated with proven organisational and time management skills and have the ability to work within multi-disciplinary teams and independently