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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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networks by analyzing their dynamical systems and probabilistic asymptotic behavior, improving and generalizing diffusion-based generative AI using insights from numerical and stochastic analysis, and making
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infectious disease epidemiology and mathematical modelling in Biology and Medicine. Experience in parameter estimation, knowledge of Bayesian methods and computer programming skills would be an advantage. Good
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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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into the grid. The PE has excellent laboratory facilities to perform HIL-based co-simulations of power systems and power electronics. About the organisation The faculty of Electrical Engineering, Mathematics and
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, or multi-robot coordination is highly valued. Familiarity with SLAM algorithms (vision or acoustic-based) and state estimation techniques will be an advantage. Mathematical skills: Competence in mathematical
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the project proposal, which can be provided by request. The Department of Mathematics and Computer Science is an inclusive and international working environment with state-of-the-art facilities and strong
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, United States of America [map ] Appl Deadline: (posted 2025/06/24, listed until 2026/06/23) Position Description: Apply Position Description Overview Susquehanna is expanding the Machine Learning group and seeking
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application! This position is in a lab with an interest in many aspects of theoretical ecology (coexistence, niche theory, ecological networks, metacommunities, eco-evolutionary dynamics, and more), where you
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techniques Programming, data analysis, and statistics Mathematical modelling Wastewater engineering Contract terms The position is limited to four years, with the possibility to teach up to 20%, which extends