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Machine Learning and SNP Subset” which is focused on genetic evaluations of 305 milk yield (MY305) in Gir cattle using machine learning and genomic relationship information calculated from genetic single
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17 May 2024 Job Information Organisation/Company Università di Pisa - Dipartimento di Ingegneria Civile e Industriale Research Field Engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Country Italy Application...
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, integrating machine learning and physiological computational models (patient digital twin) to: 1) combine physiological knowledge and clinical data; 2) improve model interpretability; and 3) minimize
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Programme for Scientific Discovery (https://acceleratescience.github.io/index.html ) is a high-profile University initiative promoting the use of machine learning (ML) to tackle major scientific challenges
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The development of statistical/machine learning approaches for downscaling at the kilometer scale will be the main mission of the position. For various climate variables (temperature, precipitation, wind, etc
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Models (LLMs) hold immense potential to change the way we work and develop products. They are reshaping the landscape of Machine Learning across various domains. However, their limited ability to leverage
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cognitive neuroscience and machine learning techniques to study learning, cognitive functioning, language processing, and reading acquisition. Candidates will conduct EEG research on implicit statistical
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analytical skills and substantial experience in machine learning at scale are required. Detailed information on the requirements for the role can be found in the further particulars. The position is for 1 year
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About us The Centre for Machine Vision (CMV) is seeking to appoint a Research Associate to focus on applications of computer vision and machine learning. This is a full time, fixed term post for
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multiple hospitals to ease the ingestion by the predictive models. Expertise in machine learning (ML) and deep learning (DL) is also valuable. The datasets may consist of 2D, 3D and 4D images from X-ray, US