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assessments (LCA) to quantify the environmental impacts of proposed processes and compare them with conventional alternatives. Develop process models using industry-standard software (e.g., Aspen Plus, HYSYS
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funding and contribute to the process of securing funds and make presentations at conferences and other events. Applicants will possess a relevant PhD or equivalent qualification/experience in a related
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to make a difference! The Role Within a multidisciplinary team, you’ll play a key role in evaluating health technologies (medicines, medical devices, diagnostics) for the National Institute for Health
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queries regarding the application process may be addressed to jobs@lshtm.ac.uk . Please quote reference EPH-NCDE-2025-11. The supporting statement section should set out how your qualifications, experience
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expected to plan appropriately for their own future career development, which may include networking and submitting funding applications. This is a fixed term post of up to 20-months duration. Main Duties
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us to build/learn generative, probabilistic forward models of users and their physical and computational environments. This will involve modelling sensors, developing dynamic models for control and
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an excellent opportunity to build on existing expertise through design, conduct and supervision of studies, to develop a strong track record of published outputs and to build links with health policymakers
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highly motivated researchers who wish to make an impact in research. The successful candidate will have a post-graduate degree, ideally a doctoral degree, in a relevant topic with extensive relevant
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improving access to cutting-edge technology across the UK healthcare and biotech sectors. Read more about the initiative here This is a unique opportunity to help build a first-of-its-kind cancer AI
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of the closing date. Any queries regarding the application process may be addressed to jobs@lshtm.ac.uk . Please quote reference EPH-NCDE-2025-11. The supporting statement section should set out how your