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much of their signal. Radar and thermal cameras are less affected but give sparser or noisier data. Reliable localisation therefore needs several sensor types and a good understanding of how each of
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participation in related studies and data collection efforts, such as the collection and analysis of biodiversity data. See https://www.youtube.com/watch?v=cIw3PekWDRM for an insight into what we have done
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using advanced data analysis techniques, and contribute to the development of new computational tools and methodologies. The research combines fundamental fluid mechanics with modern AI methods and
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impact on sustainability and future technologies. For more information: https://saragovi.science/ Being a doctoral student As a doctoral student, you are both admitted as a student and employed at Lund
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approach. Your tasks are to: - reprocess and jointly model the available regional magnetotelluric (MT), gravity and magnetic data to develop an initial model for screening the subsurface to select areas
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engineering systems through a model-driven approach, i.e. a combination of simulation- and data-driven methods and tools with data analysis and machine learning as an important part. The work builds on
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large-scale social science data, as well as knowledge of languages relevant to the project’s empirical material. Interviews will be conducted with a short-listed number of applicants during the final
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PhD Student in Urban Water Engineering Lulea Reference number 3514-2026 Data-driven understanding & predictive modelling of sediment accumulation in urban drainage infrastructures Are you ready to
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construction of high-dimensional optimal portfolios. Motivated by the widespread application of sample generalized inverses in practice when the dimension of the data-generating process exceeds the sample size
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-health solutions conducting research in software systems, distributed systems, network technologies and advanced data analysis. The opportunity to do a Ph.D. in a dynamic, international research