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. Proficiency in at least two programming languages used in research (e.g., Python, C++, R). Experience managing or contributing to complex technical projects. Excellent communication skills and the ability
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ASCOR methodology . Supporting the maintenance of an internal assessment database using Excel alongside R or Python. Contributing to writing reports and related analysis and visualisations. Candidates
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research capability, and experience working within collaborative research environments are essential. Proficiency in Python and a solid grasp of planetary geological processes, especially those relevant
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with coding, ideally in Python or MATLAB Funding support This studentship is open to Home students only. It is jointly supported by the Faculty of Engineering and industrial partners which is expected
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physics, and quantum error mitigation. Good programming skills in Python. Familiarity with PyTorch or tensorflow will be a bonus. Proficiency of programming skill with quantum machine learning architectures
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candidate should possess a knowledge of both time-series and frequency-domain analysis, as well as proficiency in Python or Matlab. Responsibilities include detecting cells and cellular organelles in image
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in programming languages Java, C/C++ is a must with experience in other programming languages and/or frameworks such as Python, Spring. Proficiency with using common Linux distributions such as Ubuntu
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Recognised as a leading authority in specialist full stack Python software development, both within and outside the University. Enable academic endeavours by delivering high-level professional
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Python, Ruby, Javascript, and Unix/Linux shell Demonstrated experience and ability in building application software using web frameworks, and troubleshooting web applications Ability to communicate
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responsibly Interest and initial experience in software development with Python, Langchain, Langgraph, Chaintlit, TensorFlow, PyTorch, or similar frameworks Experience in developing backend and/or frontend