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to underfill at Grade 6 (£35,681- £41,636 p.a.) if candidate holds a relevant degree and is working on PhD/DPhil) together with established knowledge in wired computer networks and sustainable computing
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in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD (or near completion) in a relevant subject area (including Computer Science, Engineering
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. This project is funded by the European Space Agency (ESA) and is and is fixed-term for 24 months. The project “TMNT – Threat Monitoring Networked Team” will develop multi-robot scouting approaches to explore and
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important pathogens. About you The successful candidate will develop and apply genome analysis pipelines to identify potentiating mutations and/or gene gains on projects across the IOI and PubMLST network
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programme Collaboration with Stanford University and the global LITE network Advanced training in quantitative proteomics and computational biology Relocation support and eligibility for LITE Care & Career
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mechanisms underlying protein–RNA interactions and their regulation. We combine structural, biophysical, cellular and computational approaches to understand how RNA-binding proteins recognise their partners
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for candidates to have the following skills and experience: Essential criteria 1. PhD (awarded or close to completion), or equivalent experience in human-computer interaction, AI or similar 2. Expertise
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factors assessment). You should hold a relevant PhD/DPhil (or near completion) and have publications in medical image analysis or computer vision video analysis. Knowledge of ultrasound imaging is not a
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to define and evaluate AI biomarker models. You should hold a relevant technical PhD/DPhil (or near completion) in medical video analysis or computer vision with a video focus and ideally have prior
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mechanisms underlying protein–RNA interactions and their regulation. We combine structural, biophysical, cellular and computational approaches to understand how RNA-binding proteins recognise their partners