22 Mathematics "Silicon Austria Labs" PhD positions at University of Amsterdam in PhD
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Are you passionate about doing research in mathematics? The Korteweg-de Vries Institute for Mathematics is looking for an ambitious PhD candidate in mathematics. Your research is part of
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fundamental theory of emergence from an information theoretic perspective. You will work on a new mathematical framework to identify and characterize emergent information structures in multivariate data
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The Stochastics group at the Korteweg de Vries Institute at the University of Amsterdam and the Actuarial Science and Mathematical Finance group at the Amsterdam School of Economics are pleased
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Phd Position in Multiscale Spatiotemporal Modelling of Microbiome During the First 1000 Days of Life
interpretability using techniques such as complex network analysis and dimensionality reduction (ordination). Intervention analysis: Develop qualitative and quantitative mathematical models to simulate the impact of
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. Complete and defend a PhD thesis within the official appointment duration of four years. What do you have to offer? An MSc degree in Artificial Intelligence, (Applied) Mathematics/Physics, Computer Science
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will be working in the Evolutionary Systems Biology team of dr. Meike Wortel. The team focusses on developing mathematical and computational techniques to include the environment, including other
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We are looking for an enthusiastic and highly motivated PhD-candidate who is eager to study the ecological consequences of sexual size dimorphism using mathematical models. You will be embedded in
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field theories The mathematical definition of probability distributions for random functions, measures or distributions is not straight-forward. Random functions are defined with the help of Kolmogorov’s
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mechanics of the monolayers. Additional data obtained using plasma samples from Chronic Kidney Disease patient samples will be incorporated, to allow translation of the mathematical model to the (pre)clinical
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Energy Markets. This role is perfect for someone who not only has a strong foundation in stochastic modeling and computational finance but is also eager to apply these mathematical/computational techniques