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to develop novel method for Advanced WF interface control for enhanced synchronisation stability under varying grid and WF output situation. The positions involve undertaking full time research in grid
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optimization. Your future tasks Participation in research, teaching and administration in the field of Computer Science in Sport / Data Analytics in Sport. This involves: Developing and strengthening
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of Aarhus is a partner), and contribute to open-source tools that will benefit the wider software development community. You will be expected to conduct independent research, publish in leading academic
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on research pertinent to the project. By scaling up data, compute and model size, large language models (LLMs) have gained an impressive and ever growing array of capabilities. The next phase of development
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will contribute to an exciting, interdisciplinary programme developing next-generation human in vitro models of pain. The project aims to recreate the complex multicellular interactions that underlie
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would aim to: Organise and manage multicentre datasets of MRI brain imaging from patients with epilepsy and other neurological disorders Develop robust AI tools to segment and characterise neuroimaging
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We invite applications for a Postdoctoral Research Associate in developing AI tools to integrate multimodal health data such as genetics, electronic health records, and molecular measurements in
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develop analysis plans, ethical protocols, standard operating procedures and similar as required for ongoing and future studies as well as undertake related literature reviews. You will curate and analyse
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need to manage your own academic research and administrative activities; adapt existing and develop new scientific techniques and experimental protocols relating specifically to endolysosomal patch
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development opportunities. In addition, we offer a range of work life balance and family friendly, inclusive employment policies, flexible working arrangements, and campus facilities. Queen Mary’s commitment