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collaborative and interdisciplinary and the ability to work in a team is essential. About You The successful candidate will be expected to have a PhD degree in biological or computational sciences or equivalent
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collaborative and internationally renowned research environment. The successful candidate will play a key role in advancing cutting-edge research focused on understanding the physiological mechanisms underlying
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students and PhD students. Applicants will have, or be close to completing a PhD in a relevant field and possess relevant experience, in the area of probability or statistical machine learning. They will
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Laboratory in the `Digital Innovation Facility¿ at the University of Liverpool. You will possess, or be close to completing, a PhD in Electrical Engineering / Electronics / Computer Science or a relevant
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lack of investment over decades. The candidate will be expected to have a PhD in relevant fields of either economics, geography, economic development, planning, engineering, or public policy
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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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We are seeking a talented and motivated researcher to join the Mead Group to contribute to a major research programme, focused on understanding and preventing disease progression in
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buildings closed days (and Christmas Eve when it falls on a weekday) for all full time staff. Use our total rewards calculator: https://www.hw.ac.uk/about/work/total-rewards-calculator.htm to see the value
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UKRI-funded programme of research called “SCHOUSE: Supporting Communities in social Housing and Optimising Urban food System interventions for Equity”. This exciting opportunity offers for a postdoctoral
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Postdoctoral Researcher in Machine Learning of Isomerization in Porous Molecular Framework Materials
broad range of applications. Computational chemistry and Machine Learning increasingly underlies MFM research to search or screen candidate MFMs prior to synthesis. A major drawback when applying