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, microbes will be identified that affect fermentation outcomes. Building on previous work from the host group (doi:10.1016/j.chom.2023.05.024; doi:10.1093/nar/gkaf1388), we will develop machine learning tools
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analysing using quantum-enhanced machine learning. These include strong background both in classical machine learning, physics-informed methods, graph neural networks, and quantum algorithms. The work will
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Operations Research (https://isor.univie.ac.at/) , University of Vienna, is offering a PhD position in the area of Mathematical Statistics and Machine Learning, starting at the earliest possible date, and no
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:10.1093/nar/gkaf1388), we will develop machine learning tools to model microbial communities and their impact. The environment: The successful applicant will work within the Hildebrand and Traka groups
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. The successful applicant will get a contract as university assistant (prae doc) and will be working in the research group Data Mining and Machine Learning at the Faculty of Computer Science. The group’s research
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. Supported by major research grants, the School of Computer Science at UNNC is developing research excellence in areas including Machine Learning, Big Data, Visual Analytics, Computational Intelligence
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on running machine learning on small, low-power devices at the edge. This approach keeps data on the device, lowers energy consumption, reduces cost, supports privacy, enables continual learning, and allows
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Projects (BCP)'s premises in Stockport. Company Information: To find out more about Business Computer Projects (BCP) go to https://www.bcpsoftware.com/about-us/ Qualifications we require: Hold, or be about
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, the wider university and occasionally members of the public. If this sounds like you, we’d love to hear from you! Apply now by clicking on the 'Apply' button. Learn more about working in CAR here: https
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statistical physics, control theory, and where appropriate, machine learning and data-driven techniques. The position offers a structured career development path within an active and ambitious research group