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Associate: A PhD (or be close to completion) in an area pertinent to the subject area, i.e. operating systems, networking, distributed systems, cloud computing. Research Assistant: A strong Master’s degree in
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theoretical and computational analyses of transport and exchange processes using high performance computing, to guide optimisation of cDTI measurements. Research Associate: Hold a PhD in applied computational
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undergraduate, Masters and/or PhD students. You are further expected to publish findings, and help attract funding. PhD in Computer Science, Computational Bioengineering, Mechanical or Electrical Engineering
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opportunities to network with highly skilled AI experts, clinicians and biologists. You will also have the opportunity to co-mentor undergraduate, Masters and/or PhD students. You are further expected to publish
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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 Power group has about twenty full time academic staffs, thirty post-doctoral research staffs and more than 60 PhD students. The group is known for its world leading research in control and power
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ecosystem, including a mobile app to control the eLFA and a cloud-based AI analytics platform. This role will also get hands-on with validation, conducting wet lab experiments with real food samples to refine
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at the intersection of theory, computation, and high‑fidelity simulation, the successful candidate will contribute to the development of a novel ensemble-based framework for analysing driven perturbations in wall
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The post is within the Thanzi La Mawa programme. The primary objective of this team is to improve population health and reduce health inequalities by helping to enhance the efficiency and equity
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-edge technologies. Training in large-scale data integration, clinical research infrastructure, and applied computational methods, with opportunities to contribute to publications and future PhD