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and physics-based models for battery behaviour. Designing advanced BMS algorithms for real-time monitoring and control. Creating generalizable tools applicable to various battery types, geometries, and
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system complexity. Your work will include: Developing modular, efficient, and transparent control algorithms. Combining model predictive control with learning-based motion prediction under uncertainty
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-driven techniques to improve software design and performance, using machine learning algorithms for specific tasks in web development or project management, or using AI for testing and continuous
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encryption algorithms, key management, and secure communication protocols. Internet security, focusing on securing web applications, understanding common threats, and implementing security best practices
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of nano-fabrication processes for large-scale devices Design and implementantion of automatic calibration techniques for fast tune-up Implementation and benchmarking of quantum algorithms Qualifications We
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description We are looking for a recent graduate with a keen interest in implementation and adoption of image analysis algorithms for quantitative analysis of microscopy data to join the SciLifeLab BIIF (https
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and its variants. The control of each agent will need to take into account information from other agents as well as changes in the environment. The doctoral student will develop novel algorithms
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processing algorithms, these antennas can be used for beamforming, spatial multiplexing, and integrated communication and sensing (ISAC). In this doctoral project, you will contribute to cutting-edge 6G MIMO
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the goal to eventually incorporate genomic measurements into the identification process. The algorithms developed will be application area independent, a particular focus will be put on plankton species