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sputtering). A coupled approach, involving experiments and Multiphysics numerical simulation will be implemented. A thorough investigation of the relationships between deposition conditions (temperatures
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basement structures and their role in Paleoproterozoic mineral system development in northern Fennoscandia, funded by the CAMM-CRM research initiative at LTU. Northern Norrbotten hosts numerous critical and
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workflow for the analysis of single-crystal diffuse scattering. In this project, you will have the opportunity to contribute towards reaching this challenging aim. Your tasks include: Deducing numerous
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will be used as a laboratory through both fieldwork campaigns and numerical model development. The candidate will identify hotspots of eddy generation driven by instabilities and their control on cross
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synaptic resilience and the reliability of synaptic responses. The work primarily involves mathematical modeling and numerical simulation, but also the analysis of experimental datasets for model validation
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design recovery and stability strategies using large-scale simulation workflows. Build and expand realistic, continent-scale power system models (e.g., the European transmission grid). Implement and test
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project: 3 years Application period: At any time What to expect: EUR 34.507,20 gross per year, for 30 h / week based on the collective agreement. In addition to numerous events, seminars, networking
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, support decision-makers, and advance debris-flow modelling for future research. In this PhD, you will carry out field measurements and run numerical simulations to better understand and predict debris-flow
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unique D-MIMO testbed at Lund University, extending existing and creating new deep learning-based models for anomaly detection, theoretical and numerical studies of detection quality, creating new
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theoretical understanding of hydrology, boundary layer meteorology, and arctic ecosystem dynamics will be ideal for the planned work. Strong quantitative skills, including programming, numerical modeling and