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The Role This is an exciting opportunity to join the Innovate UK funded project 'CHERI-Zephyr++: A memory-safe, lightweight real-time operating system for critical RISC-V embedded systems', led by Prof Oswald. The successful candidate will have the opportunity to closely work with the team of Dr...
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the interface of computational biology, molecular science and translational medicine, generating large multi-omic datasets that require robust, reproducible analysis to identify rare signals with high accuracy
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work on public health interventions to reduce consumption of harmful ultraprocessed foods (UPFs). Based in the Population Health Interventions Programme, the primary role of this post is to lead
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The postdoctoral researcher will lead the development of computational methods for aligning cortical organisation across species using transcriptomic and anatomical data combined with modern machine
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The Duarte Group works at the forefront of computational chemistry, developing predictive tools for reaction modelling and molecular design across catalysis, sustainability, and health. Alongside
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We are looking for an enthusiastic and highly motivated Postdoctoral Researcher to join our dynamic research team in the exciting, interdisciplinary field of plasma-liquid interaction. This is a unique opportunity to contribute on new horizon research investigating how an optical plasma...
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distortions in the presence of a shallow crustal hydrothermal system at a model caldera volcano. The model will use the phase field approach and be implemented in Alya, the parallel multi-physics Computation
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Mar 2026 - 17:00 (Europe/London) Country Ireland Type of Contract Temporary Job Status Full-time Hours Per Week 39 Is the job funded through the EU Research Framework Programme? Other EU programme Is
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: The university supports staff maintaining a good work/life balance, offer flexible working and parental leave opportunities, an Employee Assistance Programme which provides free, confidential advice on both home
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to improve cloud scheme that contributes one of the most important uncertainties in climate projections (Wang et al 2026, Nature Communications). Wang et al (2026) found that climate models largely