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of different medial temporal lobe areas such as CA1, CA3, DG, MEC, LEC, PrC, POR to memory in health, aging and in animal models of amnesia. Memory for time, space and episodes as well as the consolidation and
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sensors systems and UAVs at different scales. In particular, we will combine borehole and surface GPR as well as small-scale EMI measurements with root and shoot observations in controlled experiments
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behavior. The emerging field of comparative connectomics seeks to understand how these brain networks overlap and differ across species, providing insights into the evolutionary origins of brain function and
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Engineering (Department of Engineering Science), the Podium Institute for Sports Medicine and Technology focuses on injury prevention in youth, community, and female athletes. Unlike traditional adult-centric
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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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to: • Compare different ROM approaches (e.g., POD-Galerkin, LSPG [2], structure- preserving, auto-encoder) and DA techniques (e.g., EKF, 4D-Var, PBDW [3]) for smart monitoring applications; • Explore physics
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with symptoms. However, our brain operates differently between sleeping and waking brain states, and an optimal system should take this into account. The aim of this project is to develop brain state
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systems have not been studied extensively. This PhD will model loads, generation, and the electrical network in Matlab/SIMULINK from an electrical network perspective and undertake network studies to assess
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: Developing and applying simulation and optimization models to analyze energy flows, operational strategies and design decisions in a multi-energy system (power, gas, heat) Investigating different community
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, preferably with a background in behavioral neuroscience or signal processing (especially of bioacoustics data) - Programming experience (e.g. Python, R, Matlab, etc.) - Strong communication and