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models to the design of sustainable processes in chemical engineering. To bridge the scale from molecules to processes, we apply state-of-the art mathematical concepts and tools combined with highly
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will either pioneer novel bioinformatics tools or they will push the current limits of our model systems by developing novel tools to study gene function. The initial group of 10 PhD students will join
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-Doc will process large meteorological and emission datasets, prepare input data for the models, and contribute to scientific publications. Requirements: PhD degree in physics/mathematics
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on studying the principles of neural computation through recurrent neural networks, dynamical systems theory, and machine learning. - Develop mathematical and computational models of neural networks - Analyze
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a dynamic group. Eligibility criteria Good command of English. Knowledge in project field, Phd program in Mathematics Selection process Please see https://resurseumane.ase.ro/non-gaussian-self-similar
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criteria Good command of English. Knowledge in project field, Phd program in Mathematics Selection process Please see https://resurseumane.ase.ro/non-gaussian-self-similar-processes-enhanci… Website
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Group, https://www.chalmers.se/en/departments/e2/research/communications-antennas-and-optical-networks/communication-systems/ , employing around 45 people, including 8 faculty and 25 PhD students. During
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planning, and explainable decision support. The PhD will operate across two worlds: The University of Twente — advancing scientific models, algorithms, and hybrid AI methodologies; Thales (the industrial
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more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ Development of statistical methods for estimating plant population size and change Mathematical
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. Data from social media, or data on similar events in other countries, may also be used. This will involve (i) formatting and analyzing the data, (ii) developing a mathematical model of the propagation