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to deliver an integrated systems approach to energy geoscience that will meet Net Zero goals. Please note that this post may be suitable for sponsorship under the Skilled Worker visa route but first
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a state-of-the-art Earth system models(UKESM). We are looking for someone experienced in analysing output from large, complex climate models or Earth system datasets, and who is experienced in or keen
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(www.c4ts.qmul.ac.uk ) provides the framework for trauma sciences research that we believe will lead to a step-change in outcomes for trauma patients. We are also a member of the International Trauma Research Network
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health sciences, social sciences, or economics Experience in qualitative research and/or health economic methods High-level analytical capability Ability to communicate complex information clearly Ability
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considered on a pro-rata basis. You will have access to mentoring, career development and networking across the University and beyond. The successful candidate will work under the supervision of Dr Dawn-Marie
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considered on a pro-rata basis. You will have access to mentoring, career development and networking across the University and beyond. The successful candidate will work under the supervision of Dr Dawn-Marie
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-life environments. The Role: As Research Fellow on the COG-MHEAR project, you will have the opportunity to use your strong background in deep neural networks and multimodal hearing-aid signal processing
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degree relevant to research area (health impact assessment) or equivalent qualifications High level analytical capability Ability to communicate complex information clearly including to non-academic
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respiratory medicine services at University Hospitals Birmingham NHS Foundation Trust and NIHR’s West Midlands Regional Research Delivery Network in primary care research. This position offers an exciting
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will develop and apply methods to transform omics data into networks and executable models, collaborating closely with experts across the Petsalaki and Sheriff groups, Open Targets, EMBL-EBI, and the