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An opportunity to join a pan-European network of PhD students decoding and designing biomolecular systems with hybrid DNA:RNA:protein nanotechnology. You will be working on a project under the
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and optimisation but not limited to data driven monitoring for control and operation. You must have a good master’s degree in electrical engineering, with Power and Control Engineering major
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of national health care provision through data-informed resource allocation and strategic planning and investment. The post is funded by the Wellcome Trust, and the post-holder will join a team based across
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technologies. Training in large-scale data integration, clinical research infrastructure, and applied computational methods, with opportunities to contribute to publications and future PhD fellowship
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foundations and gravity. The position is aimed at candidates working in String Theory and Quantum Field Theory, broadly interpreted. You should hold a PhD (or equivalent) in Theoretical Physics or a closely
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modelling to address missing data and uneven data collection across different centres. Second, based on our recent deep learning biomechanics modelling work, you will perform cardiac biomechanical modelling
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developing, documenting, and maintaining opensource software related to this project. Further information on the research of Dr. Marios Kogias can be found at https://marioskogias.github.io/ . Research
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forms part of fourteen NIHR HealthTech Research centres across England. Essential requirement includes a PhD in health economics, health technology assessment, health innovation, or a closely related
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and quality‑controlled, generating high‑quality serological, molecular and genomic data alongside metadata that will feed dashboards as well as catalytic and phylodynamic models. The post includes
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join the Resilient Information Systems Security group, led by Professor Emil Lupu, www.rissgroup.org . The position offers an exciting opportunity to conduct internationally leading and impactful