29 algorithm-"Multiple"-"Prof"-"Simons-Foundation"-"St" Postdoctoral positions in Sweden
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- Chalmers University of Technology
- Chalmers tekniska högskola
- Karolinska Institutet (KI)
- Luleå University of Technology
- KTH Royal Institute of Technology
- Linköping University
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monitoring. The position is planned to start in January 2026. About us At the Department of Electrical Engineering (E2), we conduct internationally recognized research across multiple areas, including
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improving material and energy systems across multiple applications, including: High-temperature corrosion prevention Development of advanced fuel cells Recycling of valuable materials Innovations in nuclear
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experiments (both in the lab and in the field), coordinating cross-cultural studies involving multiple international research groups, data analysis, computational modeling, and writing scientific articles
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of working effectively both independently and as part of a multidisciplinary team. Organized: Excellent organizational skills, capable of managing multiple tasks and projects effectively. Excellent
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LiDAR and UAV photogrammetry) with physiological and spectral indicators of forest health. The research will be conducted at multiple spatial scales, from single trees to landscapes, and integrated
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LiDAR and UAV photogrammetry) with physiological and spectral indicators of forest health. The research will be conducted at multiple spatial scales, from single trees to landscapes, and integrated
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fundamental research in robotics autonomy with a strong European and National participation in multiple R&D&I projects. RAI has participated in the DARPA SUB-T challenge with the CoSTAR Team lead by NASA/JPL
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search and rescue, multi sensorial fusion and multirobot coordination, including multirobot perception, decentralization and mission execution. The RAI team has a strong European participation in multiple
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mathematics, ecology, history, climatic and medical sciences in collaboration across multiple institutes. An integral part of the project is to develop process-based eco-epidemiological models considering