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at the interface of machine learning and biostatistics, developing new theory, algorithms, and scalable implementations. By establishing a new class of multi-frame factorization methods, the candidate will
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for Smart Cities of Tallinn University of Technology (TalTech) invite applicants for a 4-year PhD position in the field of responsible AI governance for smart city development. The project focuses on how
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maintaining human oversight for quality and accuracy. This real-world case provides a unique opportunity to study how trust in AI systems develops, whether specialists seek to preserve authority in decision
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
distribution. The work also aims to improve inference efficiency by reducing dimensionality, reusing computations, and combining multiple measurements. The PhD candidate will develop, test and validate
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predict food-effector systems. Key Responsibilities • Develop graph-based (multi-)omics analysis algorithms • Benchmark graph-theoretic against graph-ML approaches • Analysis of food-related (multi-)omics
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Intelligence (AI) were launched in the Fall of 2025. These centres will foster interdisciplinary collaboration among researchers to address both scientific and societal challenges, develop new technologies
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to the sustained development of the Internet by providing cost-effective cybersecurity and privacy technologies. This will equip IoT infrastructures with the necessary protection levels for the sustainable
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. Kurusch Ebrahimi‑Fard and is connected to the research activities of the national project SURE‑AI. The PhD project focuses on developing mathematical and computational methods based on path signatures and
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, towards a common goal of transforming the diagnostics and preservation of cultural heritage by developing innovative non-destructive evaluation techniques and advanced digital tools for diagnostics
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Institute of Low Temperature and Structure Research Polish Academy of Sciences | Poland | about 1 month ago
. The resulting data will be used to train a machine learning algorithm to predict the pressure-induced variation in the luminescent properties of phosphors co-doped with Cr3+ and Mn4+ ions based on the structural