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to the analysis of time series. In particular, the project will examine and develop methods that go beyond the Markovian paradigm. It will consider a range of time series data, focusing on those that show
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synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application to the analysis of time series. In particular, the project
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that these new technologies have and assess the extent to which they will affect financial markets, industry, and society. Start date: October 2025 or by agreement
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The PhD research project is an EPRSC Industrial Cooperative Awards in Science and Engineering (ICASE) with Constellium, a global leader in the development, manufacturing, and recycling of aluminium products and solutions. Constellium aims to produce sustainable aluminium alloys supporting the...
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Responsibilities of Financial Institutions for Decarbonization” Project description The financial sector plays a crucial role in directing investments to sustainable causes. So far, sustainable investment has been
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this position is $93,400 - $248,400. See Researcher Series - Represented - Fiscal Year - Exempt . See Researcher Series - Represented - Fiscal Year - Non Exempt . Application Window Open date: July 2
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seeking exceptional researchers to join our dynamic team. As a Machine Learning Researcher, you will apply advanced ML techniques to a wide range of forecasting challenges, including time series analysis
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exceptional researchers to join our dynamic team. As a Machine Learning Researcher, you will apply advanced ML techniques to a wide range of forecasting challenges, including time series analysis, natural
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turbulence. Understanding the origins of and the connections between these chaotic states is a major scientific problem with substantial industrial implications. This project will apply cutting-edge machine
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experience. The UCSC Salary Scales set the minimum pay determined by rank and step at appointment. See the scale titled, Represented Professional Research Series Fiscal Year. A salary that is higher than