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loading histories in Francis turbine runners, including start–stop cycles, rapid load changes, dwell periods and mixed high–low stress sequences. Such loading conditions influence fatigue damage development
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-macrophages Perform flow cytometry and/or cell sorting and characterization using different experimental approaches including sequencing and RT-qPCR experiments Perform in situ hybridization and other
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administrative tasks at the Department. About the project/work tasks: The PhD project will focus on the ethical aspects of Natural Language Processing (NLP), addressing challenges such as bias, fairness, alignment
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representations of time‑dependent data through sequences of iterated integrals and have recently gained significant attention in machine learning and data science. The project will investigate how
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-based methods for discrete sequences (e.g., DNA, RNA, amino acid, and crystals) remain fundamentally underdeveloped. Existing approaches rely on ad hoc corruption mechanisms that lack theoretical
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-based methods for discrete sequences (e.g., DNA, RNA, amino acid, and crystals) remain fundamentally underdeveloped. Existing approaches rely on ad hoc corruption mechanisms that lack theoretical
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to judge the applicant’s contribution for publications with multiple authors, a short description of the applicant’s contribution must be included Name and contact information for two references. About the
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/ ). By combining advanced machine learning techniques with qualitative methods, the project will investigate usage patterns and engagement levels with a health app across multiple European countries
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/ ). By combining advanced machine learning techniques with qualitative methods, the project will investigate usage patterns and engagement levels with a health app across multiple European countries
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beneath solar panels. Analyse the technical and economic potential of agrivoltaics, including land use and business models. Study implications for mechanization, harvesting practices, and alignment with