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We are looking for a researcher, whose expertise lies in gravitational waves. They will be expected to conduct research on perturbative or nonperturbative waveform modelling, with applications
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computational modelling is a plus. The appointee should be organized, self-motivated and be able to work independently as well as in a team. He/she will work under the supervision of Professor Cora Lai in
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tunnel experiment to identify key influential factors. Once these parameters are identified, the research fellow will have the opportunity to contribute to the development of a control model based on
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specific responsibilities in the project: i. Develop, train, and optimise deep learning models for object detection, classification, and segmentation using real-world datasets. ii. Design and implement
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the opportunity to work at the forefront of cardio-oncology science, combining sophisticated small animal radiation models, single-cell transcriptomics and state-of-the-art echocardiography. The successful
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the Sterne-Weiler Lab i n Computational Biology / Discovery Oncology. The postdoctoral position is focused on developing and applying foundational AI models to investigate clinically relevant cancer
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. Analyse and evaluate the performance of proposed methods under a range of scenarios, including worst-case and average-case models. Job Requirements PhD in Mathematics, Computer Science, or a closely related
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your career in one of the world leading research institutions in Transport? Based in the Institute for Transport Studies at the University of Leeds, you will primarily contribute to the modelling and
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-reviewed literature. Utilize and manage in vivo models to investigate molecular and physiological mechanisms of OSA and cardiovascular dysfunction. Conduct animal procedures, tissue harvesting, histological
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, attention-based models, and multi-modal learning approaches—to model RNA-mediated regulatory mechanisms and their dynamic interactions in disease. The position is part of an NHMRC Ideas Grant project