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concepts in information processing using machine learning algorithms LanguagesROMANIANLevelExcellent Research FieldComputer scienceYears of Research ExperienceNone Additional Information Selection process
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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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for a limited period of 2 years, in order to carry out research on the project "“Algorithms of Efficient Biomedical Time Series Analysis”. Working conditions and other details can be found on the Web page
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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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of the 2026 academic year. In the AI era, this course is more important than ever. We need our students to learn the basic skills to survive in the forest of fake news, dummy websites, abusive algorithms and
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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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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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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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, 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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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