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Field
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skills and motivation to implement algorithms and test them in practice on large-scale problems. Programming Skills: You are proficient in at least one scientific programming language (such as Python
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this PhD project, you will investigate the co-design between event-based learning algorithms and neuronal hardware units with multi-scale time constants. The algorithmic methodology will exploit recent
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reference architecture for data visiting. This paradigm enables algorithms to securely access and process data within the environments where it resides, supporting federated learning for training machine
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, computer science, mechatronics, AI, or a related engineering field; Programming experience in current programming frameworks such as Python and C++; Understanding of control principles, algorithms, and 3D
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Cubiq Technologies and the two research groups. You will be a part of a team that consists of 1 EngD, and 2 PhDs. Successful candidate will work on a field demonstration of DSP algorithms for FSO
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increasing environmental awareness. However, most existing hearing aid algorithms optimize for only one of these objectives at a time, often at the expense of the others. To enhance hearing aid performance
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Are you passionate about mathematical systems and control theory? Do you want to develop cutting-edge control algorithms for the security of cyber-physical systems? Then you are the PhD candidate we
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language. - While our current digital infrastructure relies on classical networks, quantum networks are slowly becoming a reality. The coordination algorithms that govern their operation are unlike those
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on classical networks, quantum networks are slowly becoming a reality. The coordination algorithms that govern their operation are unlike those employed in classical networks, necessitating novel verification
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optimizations tailored to different environments. The optimizations range from algebraic optimizations (e.g., term rewriting) to algorithmic optimizations (e.g., group level algorithms), and to hardware