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such systems are limited to the learning errors due to the neural component. In this Ph.D. project, you will be exploring the use of Lipschitz Continuous Neural Networks to learn Lipschitz-bounded neural models
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such systems are limited to the learning errors due to the neural component. In this Ph.D. project, you will be exploring the use of Physics-Informed Neural Networks to encode the symbolic knowledge
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various sources. Required knowledge Python programming Machine learning background Image analysis Video analysis
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financial barriers to achieving theoretically optimal city sizes using qualitative methods, including stakeholder interviews and policy analysis. Integrating Theory into Dynamic Models Embed the sustainable
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solution eleXsys as a core element operating autonomous microgrids of the future, as well as providing integrated Volt/VAR management, allowing for full two-way energy flow in the entire microgrid network
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of the University’s Capital Management and liquidity strategy. This position is responsible for managing all treasury related financial analysis to support decisions and long-term forecasts, and supporting
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The Opportunity We are seeking two Senior Business Analysts to drive strategic business analysis solutions that support the University’s objectives. This role focuses on identifying business improvement
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be responsible for data collection, analysis and preparation of results, ensuring accuracy and adherence to protocol guidelines. Your proactive approach to monitoring participants' progress and
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expert technical advice, accurate reporting, and analysis. It oversees the preparation of monthly, quarterly and annual financial statements, manages the external audit process, and ensures full compliance
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finance professionals delivering high-level financial services across budgeting, forecasting, financial planning, reporting, modelling and strategic analysis – supporting central portfolios that manage more