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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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candidate will work on the project “Regulatory Compliance in Digital Financial Services from an Information Systems Perspective” (ReFIS). The rise of digital financial services – from mobile banking and
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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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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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here: Demonstration of Deterministic QC with one clean qubit (DQC1) on a neutral atom array How to apply If you would like to apply then please read the guidance on applying for a PhD studentship here
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and deterministic AI outputs is critical. This requires robust design principles and architectural changes to reduce variability and integrate smoothly with industrial control systems. Enhancing
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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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. A non-deterministic AI machine learning model for the identical task would not offer this demonstrability or, critically, the repeatability of classical algorithm-based systems. Furthermore, there is
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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