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modeling, multilevel (random effects) modeling, and analysis of data from complex samples Experience with management and analysis of big data Experience with machine learning and related approaches (e.g
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relevant to multiple applications, including small aircraft, drones, turbines, and other systems reliant on efficient fluid flow around foils. The project offers a unique opportunity to gain experience in
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hectares. In the 21st century, losses have become more frequent with a constant stream of large buildings taking over sites that were once Open Green Public land. A research industry internship have been
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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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Life Laboratory, Solna. For more information about the activities at SciLifeLab DDD, please visit www.scilifelab.se/ and www.scilifelab.se/units/ddd-platform/ . More information about us, please visit
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coefficients. This strategy carries large uncertainty and requires vast amount of expensive and time-consuming experimental data. Worse, sometimes the experimental data is simply inaccessible. The need for cost
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. Carry out laboratory work and analyses related to the experiments. Collect and process data including statistical analyses. Write and publish scientific articles in reputable international journals in
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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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, 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