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. Therefore, we need an imaging scheme that captures relevant features at different length scales and integrates them into a single reconstruction volume. This PhD project focuses on learning-based phase
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electricity risk indices for Europe and test whether firms more exposed to electricity price risk face different market valuations and stock return dynamics. Subject areas: Econometrics, Finance, Mathematical
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PhD Studentship: Green vs. Non-Green Innovation: The Role of Regulatory Policies and Market Dynamics
provides an annual tax-free stipend. International students are also eligible to apply. Exceptional international candidates may receive additional funding to cover the difference between the home and
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, there may be groups of different parameters producing the same output as the true system parameters, making it almost impossible to uniquely recover the actual ones. AI:Wind-Lab aims to develop a set of
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The Department of Mathematics and Computer Science at the University of Southern Denmark (Odense) invites applications for a PhD scholarship in computer science under the umbrella of the Danish
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17 Mar 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Mathematical Sciences Research Field Mathematics Researcher Profile
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environment Strong communication skills for engaging with diverse stakeholders Solid mathematical and analytical skills Strong programming skills Knowledge of privacy-enhancing technologies and/or applied
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not limited to just the words spoken; the signal also includes, for example, information on speaker identity or conversation style. Depending on the task at hand, different aspects of the speech signal
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of approaching reconstruction and variability analysis. The project combines applied mathematics, computational imaging, and structural biology. You will develop algorithms, implement and test software tools, and
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application! We invite applications for a fully funded PhD student position to join the research group of Andrew Winters to work on challenging problems in Computational Mathematics for accurate and reliable