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for carrying out research on the European Research Council Project METACOMP on “Meta-Complexity: A Unified Approach to the Complexity of Proofs and Computation”, with Rahul Santhanam as Principal Investigator
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instance Hours: Full time (37.5 hours per week) About the role We are looking for a Postdoctoral Research Associate in Computational Biology to join the group of Dr Rebecca Berrens. This primarily dry-lab
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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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About us: This Computational Biologist post forms part of the CRUK City of London Centre and is based within the School of Cancer & Pharmaceutical Sciences at King’s College London. The successful
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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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will benefit from the computational and clinical electrophysiological infrastructure provided by the School of Biomedical Engineering & Imaging Sciences and will be based at St Thomas’ Hospital
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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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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