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This project targets the development of advanced grey-box modeling frameworks for multiphase flow systems, combining mechanistic, multi-scale flow models with data-driven inference and uncertainty quantification
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large-scale, high-dimensional datasets including multi-modal data integration and hands-on experience with high-performance computing (HPC) environments Ability to work independently and in
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extend and complement the current generation of the biomass data product. A large-scale training data set will be generated for the biomass algorithm. The training data will be based on other remote
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Assignment, Generation, and Execution for Non-heterogeneous Multi-role Swarms for large-scale missions - Human-Swarm Interfaces including Intention-aware Swarms and Task Decomposition - Distributed Swarm Re
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Laszlo Bakó (molecular biology) and Torgeir R. Hvidsten (comparative genomics). The environment provides comprehensive support for large‑scale multi‑omic data generation/analysis and transformation
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targets the development of advanced grey-box modeling frameworks for multiphase flow systems, combining mechanistic, multi-scale flow models with data-driven inference and uncertainty quantification
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comprehensive support for large‑scale multi‑omic data generation/analysis and transformation/embryogenesis services for functional validation. Nathaniel is also an associate group leader at the Science for Life
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practices in reproducible code (e.g. Git, notebooks, pipelines). Demonstrated experience in analyzing large-scale, high-dimensional datasets including multi-modal data integration and hands-on experience with
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for metals, organic pollutants, microplastics, and tyre wear particles in soil and water. Experience using tools for multi-criteria decision analysis. Experience in teaching. What you will do This project aims
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students. In the coming years, multi-billion investments will be made in large projects in Northern Sweden to create a fossil-free society both nationally and globally. Luleå University of Technology is