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particle physics. Previous experience of LHCb simulation development, testbeam operations or detector commissioning would be advantageous. Candidates are expected to demonstrate the ability to plan and
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research, deep learning and biomedical image analysis are essential. Strong programming skills in Python and a keen interest in cross-disciplinary research are also required. Informal enquiries may be
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mass spectrometry (especially GC-MS) and programming (e.g. R), statistical knowledge for omic-scale research questions Scientific publishing experience in renowned, subject-relevant peer-reviewed
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opportunities for knowledge exchange in advanced VLSI systems. By developing tailored training programs and focusing on Electronic Design Automation (EDA) tools for reliability assessments, COIN-3D aims to push
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relationships for future research collaboration. To plan and manage own research activity, research resources in collaboration with others and contribute to the planning of research projects. To deliver training
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demonstrated ability to analyse and interpret complex multidimensional data. You will have experience of working with biomedical datasets, such as cancer data and/or spatial data, and experience of programming
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demonstrated ability to analyse and interpret complex multidimensional data. Experience of programming in Python, or demonstrated ability to rapidly acquire fluent knowledge of new programming languages
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optimising protocols, designing and accurately executing experiments, and contributing conceptually to the overall research programme. Good organisational and communication skills and the ability to work as
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robotics and design journals/conferences. Essential Criteria PhD (or equivalent experience/Masters with significant research background) in a relevant field Extensive programming skills (e.g., C++, Python
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Page The Role and Department One of the UK's leading Mathematics departments with an outstanding reputation in teaching, research, and employability of our students. It has an active programme of