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data requirements, and lower costs for large-scale modelling tasks. PINNs enhance predictive capabilities and efficiency by combining data-driven methods with physical principles. Unlike traditional
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. It will use signals from different sources—such as radio signals and internal sensors— to maintain robust and accurate PNT, even when satellite signals are weak or missing. A built-in intelligent
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may refer to the following: www.uni.lu/snt-en/research-groups/sigcom/ We are looking for people driven by excellence, excited about innovation, and looking to make a difference. If this sounds like you
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the recruitment is completed. Apply at the latest 2nd July. Choose to work at KI – Ten reasons why Want to make a difference? Join us and contribute to better health for all
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to dimension the reserves for balancing these power systems with manual and automatic reserves such as mFRR, aFRR and FCR. This PhD project will model different balancing principles including MARI and PICASSO
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structured training and supervision of more than 1,500 doctoral candidates in mathematics, natural and life sciences. Working on research projects towards their doctorate, the students are supported in
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) analysing the effects of different trade-offs between timber production and biodiversity under the influence of climate change, and 3) developing optimisation models based on heuristic and AI-based methods
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modular, scalable, and transparent control algorithms suitable for real-time implementation across different vehicle platforms. - Contribute to theoretical developments in stochastic model predictive
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programmes in research and education range from nanomaterials and biomachinery to astronomy, from mathematics to pharmacy, from neurosciences to computer science, and from molecular and evolutionary biology to
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dependent on the agreement made with the supervisor. Academic admission requirements Admission will be granted after application and approval by the Faculty of Mathematics and Natural Sciences. Language