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and experiments with modelling of these experiments. As part of this, we have developed new algorithms and a completely new web-based platform – EasyNMR - for performing such modelling/simulations. With
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research results (algorithmic developments, data mining techniques, etc.) to feasible deployment • Integrate the developed techniques with modern ICT/IoT and other digitalization systems • Cooperation
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closely related field, with a strong background in AI/ML technologies, including algorithm development, optimization, and data-driven modeling. Candidates are expected to demonstrate research leadership
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, these advanced compression techniques allow for on-the-fly data compression, support analytics and machine learning (ML) without decompression, significantly reduce algorithm complexity and memory use
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explore applications of quantum resources in a network setting. Among the research topics are quantum cryptographic algorithms and quantum error-correction. How to apply Your application must include
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-of-the-art digital methods and/or algorithms in the study of social world phenomenon? The Department of Society and Politics, the Faculty of Social Sciences and Humanities, AAU invites applications for a 3
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(e.g. Agentic Reinforcement Learning), evaluation, tool use, agentic harness, or retrieval-augmented systems. Internship/full-time experience from research, engineering, or algorithm-development roles in
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in e.g. programming, algorithms and data structures, software systems architecture, use of AI, data acquisition and fullstack software-development. Following the Problem-Based Learning (PBL) model, you
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establish new strategies to improve the accuracy of radiotherapy dose calculations including algorithms for virtual iodine contrast removal. Overall, the project will aim to establish clinical workflows
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optimise deep learning–based models for the quality control and real-time assessment of concrete constituents within in-line production. Develop and train predictive algorithms based on hyperspectral imaging