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learning, new algorithms, and AI for Science. The graduate program at CMLR is an interdisciplinary, international program aimed at producing the best talents at the frontier of all disciplines where machine
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next-generation intelligent systems that are both scalable and explainable. This role bridges algorithmic research and systems implementation, offering opportunities to collaborate with leading academics
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processing algorithms for the compensation of non-idealities (equalization, distortion reduction) and beamforming algorithms for audio transducer arrays will be designed. Where to apply Website https
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learning, and distributed algorithms. The project is in collaboration with Linköping University, which includes opportunity for research visits. The project is funded by ELLIIT, a strategic research
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RF information and limited communication. A key contribution of the project is the design of frugal embedded control algorithms tailored to resource-constrained robotic platforms. These control
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integration of a non-intrusive power consumption monitoring (NILM) technology into an existing industrial optimization system. More specifically, the missions consist of: Participate in algorithmic and
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software Analyze software for new, moderately complex systems and algorithms Perform data analysis, test and debug software Develop, implement and execute plans and tests Design and apply basic data sources
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for application to fusion reactors, considering factors such as muon flux, detector sensitivity, and data analysis algorithms. PhD candidates will be tasked with developing simulations of complete detectors and
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Seizure prediction algorithms will be developed using the one-of-a-kind ultra-long-term human intracranial EEG dataset obtained from the Neurovista Corporation clinical trial of their Seizure
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The research program aims to develop new sensing algorithms integrated