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31 September 2028) in association with a new Faraday Institution-funded project entitled “Accelerated Development of Next Generation Li-Rich 3D Cathode Materials (3D-CAT)”. You will have a PhD (or be
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engineering. We aim to unravel the logic of genome organisation and metabolic control—with the bold vision of building synthetic life. In this role, you will develop and apply computational methods to analyse
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provide appropriate support. Our commitment to inclusivity includes mentoring programmes, accessibility resources, and professional development opportunities to empower and support underrepresented groups
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About Us We are seeking experts in medical image deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with
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initially fixed-term for 12 months with possible extension. The Podium Institute constitutes a world-unique ecosystem within which to develop and validate new technologies for the diagnosis, prevention, and
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the recruitment process or in your role, please let us know so we can provide appropriate support. Our commitment to inclusivity includes mentoring programmes, accessibility resources, and professional development
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& wider impact work). Secondly, you will do qualitative research with Prof. Ben Geiger and Prof. Karen Glaser as part of CSMH’s programme on ‘Work, Welfare Reform and Mental Health’. In particular, you will
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will develop novel tools which will allow efficient flow modelling tools for other researchers to explore higher fidelity thermochemistry modelling. The main responsibilities of the post will be
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. The successful candidate will have significant experience in at least one of these areas. They must show a willingness to develop skills and to work with a team that includes post-doctoral staff, PhD and
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reproductive behaviour, with a focus on childbearing age and fertility levels. The project will develop a framework to understand global fertility dynamics and the links between reproductive behaviour and