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University of Innsbruck, Department of Mathematics Position ID: 3366 -PHDPOSITION [#26832, MIP-15291] Position Title: Position Type: Non tenure-track faculty Position Location: Innsbruck, Tirol
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of precision fermentation or cell culture - Affinity towards technical tasks and bioprocess control - Advantageous: Experience in mathematic modeling, programming, CAD, microfluidic or bioreactor systems
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-based symbolic machine learning. The aim is to give the industrial widely used NewWave theory (a theory that predicts the linear shape of extreme waves) a modern twist to account for the important
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theory. While the GW method reliably describes photoelectric (main) peaks, it often fails to accurately capture satellite positions, which require more advanced techniques such as the cumulant approach (GW
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project supported by an ERC Advanced Grant on the Theory of Materials for Bioelectronics. The overall goal of our research is to describe a class of organic materials able to transport ionic and electronic
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computational tools for predicting satellite features in XPS spectra of 2D framework materials. Your work will be based on the GW approximation within Green’s function theory. While the GW method reliably
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of programming languages. The ideal candidate has an MSc in Computer Science or Mathematics and experience in one or more of the following areas: Theory of programming languages. Logical methods in
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algorithmic aspects of cheminformatics. The position is founded by the Challenge Programme of the Novo Nordisk Foundation: “Mathematical Modelling for Microbial Community Induced Metabolic Diseases ”, led by
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, advances global implementation of CCS at gigatonne scale through industry-driven research and by training the next generation of experts. Duties of the position Development of new theory and methods for Full
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foundational knowledge in quantitative finance. You will have the opportunity to build alphas on an actual trading strategy. What you can expect Modelling. Apply probability theory, statistical analysis, and