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mathematics, computational biology or similar. The successful candidate will have excellent skills in theoretical physics, in particular statistical physics, dynamical systems and stochastic processes, together
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fraction of the data we collect. In this project, we will therefore seek to use advanced mathematical and machine learning approaches to identify hidden information within cardiac electrical signals that is
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leader is Associate Professor Soledad Gonzalo Cogno. About the project The successful candidate will contribute to the development of mathematical and computational models to enquire about the mechanisms
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resources efficiently. In this PhD project, you will develop mathematical theory and computational methods for the analysis and design of chaotic sampling mechanisms in networked control systems. You will
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of interest, e.g. the spectral density of strongly correlated models, as measured in ARPES. • The mathematics of the approach will require a lot of innovative developments too. In the only published article
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on solitary waves and on analysing their stability. We will also extend the study to related configurations, such as ferrofluid jets under vorticity and swirl. The mathematical and numerical techniques
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22 Jul 2026 Job Information Organisation/Company University of Twente (UT) Research Field Mathematics » Probability theory Mathematics » Statistics Researcher Profile First Stage Researcher (R1
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9 Sep 2026 Job Information Organisation/Company International PhD Programme (IPP) Mainz Department Institute of Molecular Biology Research Field Mathematics » Statistics Biological sciences
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obtained) start your degree 31 March 2027 have an honours degree (First Class or Second Class – Division A) or masters degree with a research component in one of: biostatistics statistics mathematics
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18 Sep 2026 Job Information Organisation/Company CNRS Department Laboratoire de réactivité et de chimie des solides Research Field Mathematics History » History of science Researcher Profile First