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, develop theory and algorithms for their practical use, and study complexity and performance trade-offs in relevant applications. The project is led by Professor Erik Agrell (IEEE Fellow), whose
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for problems that are 'quantum' NP-hard (QMA-hard). What you will do Quantum algorithms and complexity theory; Quantum error correction protocols; Quantum information theory; Classical representation of quantum
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. We are looking for candidates whose work focuses on the broader area of Theory of Computing which includes complexity theory, algorithms, quantum computing, cryptography, differential privacy
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battery management system (BMS) unit is not just a component, but a crucial element tasked with monitoring each cell of the battery and running algorithms to calculate state of charge (SoC), overall health
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, develop, and implement state-of-the-art post-quantum cryptographic protocols and algorithms. Collaborate closely with top-tier European universities and industrial partners. Participate in project
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pipeline to evaluate the accuracy of deep learning algorithms. Apply deep learning models to analyze large-scale molecular and cellular datasets related to high risk model of schizophrenia generated in our
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. Project description This PhD project focuses on advancing the scientific computing foundations of quantum spin dynamics by developing efficient numerical algorithms for modeling complex, open quantum
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-board Payload Signal and Data Processing algorithms and techniques for RF payloads and instruments in close collaboration with TEC-ED; and Time and frequency references, modelling, design tools
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that accelerate AI/ML when applied to large scientific data sets; Energy efficient physics-aware algorithms, capable of distributed learning on high performance and edge computing; The design of architectures
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treatments for mental illness. To this end, we bridge computational models that target various levels of analysis, including the algorithms (e.g., reinforcement learning models) and their neural