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collaborate with partners at ELLIS Institute Finland. Target publications at top-level AI, ML, and NLP venues. Who we are looking for Requirements Ph.D. in Machine Learning, Natural Language Processing
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foundation in cybersecurity and adversarial machine learning. Excellent analytical and problem-solving skills. Good communication skills in English (written and spoken, e.g., with a valid International English
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, big data frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and
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actively in the University’s research education and are encouraged to be engaged across the wider University. Learn more about our community: https://www.youtube.com/watch?v=QRN7LoQ-eKs We are now looking
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. Essential qualifications PhD in computational statistics, bioinformatics, systems biology, or a related field. Strong expertise in statistical methods, including machine learning approaches, for analysis
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of quantum walk algorithms, variational quantum algorithms and their optimization, adiabatic quantum computation, and quantum machine learning. Theoretical and applied research into the capabilities of quantum
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element analysis Laboratory and field-based structural testing and data acquisition Direct and indirect sensing methods for bridges, including remote sensing techniques Machine learning and artificial
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Trustworthy Artificial Intelligence: Research on privacy-preserving collaborative machine learning, trustworthy and explainable AI, distributed intelligence, and condition monitoring for industrial and energy
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and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and database systems. The department has extensive international collaboration with
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excellent study records in Electrical Engineering, Electronics, Microelectronics, Computer Engineering, or a closely related field, completed by the start of the position Have a solid background in digital