61 evolution "https:" "https:" "https:" "Multiple" PhD positions at Newcastle University
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project costs will also be provided. Overview In vitro models of cardiac tissue are synthetic tissues produced in the lab which allow for the development of organs and the treatment of diseases to be
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on the 26th of November. Link to the event can be found here: https://events.teams.microsoft.com/event/376b2195-d8da-47c0-86e2-b18813ec19e3@4a5378f9-29f4-4d3e-be89-669d03ada9d8 . Number Of Awards 1 Start Date
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UKRI rate). Additional project costs will also be provided. Overview The project aims to explore the potential of new warheads for the development of targeted covalent inhibitors for drug discovery
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Overview The project aims to explore the potential of new warheads for the development of targeted covalent inhibitors for drug discovery. Targeted covalent inhibitors (TCIs) have vast potential
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on the project, we will be hosting a ‘Prospective applicant webinar’ at 2:00pm on the 26th of November. Link to the event can be found here: https://events.teams.microsoft.com/event/376b2195-d8da-47c0-86e2
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be hosting a ‘Prospective applicant webinar’ at 2:00pm on the 26th of November. Link to the event can be found here: https://events.teams.microsoft.com/event/376b2195-d8da-47c0-86e2-b18813ec19e3
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to the event can be found here: https://events.teams.microsoft.com/event/376b2195-d8da-47c0-86e2-b18813ec19e3@4a5378f9-29f4-4d3e-be89-669d03ada9d8 . Number Of Awards 1 Start Date 1st October 2026 Award Duration
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models, in-house laboratory tests in a wind-wave-current flume (https://research.ncl.ac.uk/amh/ ) and numerical methodology to quantify biofouling impacts on flow-induced vibration phenomena, structural
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attention to boundary conditions and heterogeneity. The outcomes will support improved design, risk reduction and development of low-carbon geothermal resources. This project addresses sustainable resource
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living examples of a highly skilled workforce delivering an equitable energy transition so that Net Zero is inclusive for all. The development of deep geothermal energy systems relies on robust modelling