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of an Experienced Researcher with 12,50% of the regular working time is to be filled as soon as possible, for the project Non-Gaussian self-similar processes : Enhancing mathematical tools and financial models
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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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information on doctoral degrees at Forschungszentrum Jülich (including its various branch offices) is available at https://www.fz-juelich.de/en/careers/phd We welcome applications from people with diverse
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of Mathematical Statistics include stochastic models, statistical theory and computational statistics, probability theory and statistical signal processing, with applications in areas such as financial mathematics
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2 Jan 2026 Job Information Organisation/Company UNIVERSITY OF MELBOURNE Research Field Mathematics Researcher Profile First Stage Researcher (R1) Country Australia Application Deadline 2 Feb 2026
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development of new computational and mathematical models to quantify and predict infectious disease risk, particularly for identifying high risk individuals and groups. The PDRA will translate conceptual
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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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Intelligence/Computing Natural Language Processing AI for Science and Innovative Applications of AI Autonomous Agent and Multi-Agent Learning Complex Systems Modeling, Control, and Decision Making Computational
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Josip Juraj Strossmayer University in Osijek School of Applied Mathematics and Informatics | Croatia | about 1 month ago
, scientific field of mathematics, for work on the project Croatian Science Foundation HRZZ-IP-2022-10-8081 „Scaling in Stohastic Models - SCALISM“, project manager Associate Professor Danijel Grahovac, PhD