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Wrocław University of Science and Technology / Faculty of Information and Telecommunication Technology | Poland | 12 days ago
creating a semantic repository for storing and indexing tax documents, designing machine learning algorithms to represent data in embedding spaces, and building tools for semantic search, interpretation
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. This post is funded by UKRI’s Moving IMPACT Project (Integrated Means to Power Agriculture, Clean Cooking and Transportation https://movingimpactproject.org/) and will investigate innovative power
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in three dimensions with an increased speed and resolution. One important challenge remains in iterative reconstruction algorithms, which require a lot of processing. This is currently developed
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, or the design of efficient, explainable, and scalable query engines. The successful applicant will help design and build novel systems and algorithms that challenge traditional assumptions in databases, guided by
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. Through continuous structural monitoring systems Through continuous structural monitoring systems and artificial intelligence algorithms (machine and deep learning, hybrid physical-data driven methods
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numerical methods for quantum many-body systems, (iii) correlated electronic structure theory, (iv) tensor network algorithms. Applications should be submitted by March 1, 2026 for full consideration
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at ISS-La Princesa. - Train laboratories with diagnostic and/or surveillance functions in the analysis of omics data from the research groups of IIS-Princesa. - Deliver cutting-edge algorithmic solutions
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algorithms into electron impact ion sources as well as tackle changes over time in ISOL systems, to ensure an optimal tuning at any point in time during operation. Where to apply Website https://www.sckcen.be
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algorithms for Robust Relative Biological Optimization, considering uncertainties in the parameters of dose-response models. Finally, the aim is to o assess the potential of fractionation optimisation in
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these autonomy and self-adaptation capabilities. Three major challenges have been identified: (P1) modelling uncertain environments where robust, weakly supervised machine learning algorithms can be deployed