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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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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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, 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
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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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. 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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description The candidate will work on problems at the intersection of mathematical statistics, machine learning, and generative modeling, particularly for sequential data arising in complex dynamical systems
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candidates for a Postdoctoral position. This position is available to individuals with research interests and expertise in modeling and data analyses of hydrologic processes. The College and/or the Civil
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. 250908010) [Appointment period: each for twelve months] Duties The appointees will assist the project leader in the research project – “AiFashion: multi-modal and multi-dimensional large model based on self
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of lung inflammation in in vivo mouse models Assays for innate immune responses including ELISAs and Western blotting. Bone marrow cell isolation and maturation Flow cytometry To be successful
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cognitive architecture (ETCs). This involves exploring a potential continuum of cognition, from basal organisms to complex animal societies, and extracting general principles, by comparing cases