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/InstituteImperial College London, Electrical and Electronic EngineeringCountryUnited KingdomGeofield Contact City London Website http://www.imperial.ac.uk Street Exhibition Road Postal Code SW7 2AZ STATUS: EXPIRED X
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-reviewed media Experience with grant applications on international and national levels High quality in your own teaching and supervision experience Coding skills (SPSS, JASP, R) Very good English and German
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background in rheology and Non-Newtonian flows. In addition, they will be familiar with Machine-Learning tools (such as PyTorch or TensorFlow), as well as with code development and customisation. They should
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Strategy and a central part of everything 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
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Full Time, Fixed Term (31/07/2028) The closing date for applications is 23.59 on 10 October 2025 Interview Date : 20 October 2025 By reference to the applicable SOC code for this role, sponsorship
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organisational and time management skills, including ability to prioritise workload and work to deadlines. Desirable criteria Coding skills and experience in one or more open-source languages (e.g. Python, R
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The closing date for applications is 23.59 on 21 September 2025 Interviews will be held: 8 October 2025 By reference to the applicable SOC code for this role, sponsorship may be possible under
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near to completion) in a bioinformatics field, preferably related to cancer biology. Ideally you should have expertise in spatial biological approaches. You should have advanced skills in code generation
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. Physical Review Research, 2, 043217, 2020). You will use our mature simulation code to carry out simulations. Knowledge of a python framework for machine learning is essential (e.g. TensorFlow), as is
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MoSS, to study MoSS with various diffraction methods, to develop code to automate the characterisation of MoSS with diffraction and other methods. The successful candidate will be involved in