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, business school scientists, system modeling and optimization researchers, computer scientists, legal experts and social scientists working on energy topics. Description of the PhD project The project
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doctoral programmes: any time Additional information on beginning, duration and mode of study The courses always start in spring. Depending on the topic, courses will either be held in person or online (only
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(FNR) and the partner institutions. Our DTU focuses on microbiome-mediated pathogenesis through microbiology and big data analytics. The programme offers transferable skills training, career development
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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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transport properties over time. Simulating these processes is computationally demanding, as it requires large time and length scales, and existing classical models fail to capture the intricate interactions
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Statistics for the Australian Grains Industry 3 (SAGI3). Investment. The University of Adelaide, in collaboration with Curtin University and The University of Queensland, is leveraging machine learning, data
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. Resistance to these pronouns is shaped by multiple factors, including cognitive load, familiarity, and speaker attitudes. For example, the pronoun “die” may be more easily integrated in usage due to its
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Key Information Funding providers: IQE and Faculty of Science and Engineering, Swansea University Subject areas: Materials Science, Electronic Engineering, Physics Project start date: 1 October 2025
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build upon these findings and be responsible for conducting a large-scale field trial to assess the impact of various diets in conjunction with other factors that may influence the development
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analysing large-scale datasets such as StatsBomb, which provide detailed technical and tactical data across multiple leagues and seasons. By applying advanced analytical and machine learning techniques