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situations frequently require different team compositions, communication structures, or varying degrees of centralization and decentralization. The project aims to enable adaptive coordination, especially in
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threatened by ash dieback. The successful candidate will contribute to developing the first Swedish-focused European ash pangenome, integrating long-read genome assemblies with population-scale sequencing
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, or measurements of plant community composition and functional traits is beneficial but not required. As postdoctoral scholarships are career-developing opportunities for junior researchers, we are primarily looking
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, world models or simulation-based inference is meriting, as is experience with large-scale training on GPU clusters, open-source software development and applications in the life sciences. Teaching
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field. Demonstrated experience with satellite remote sensing for large-scale vegetation or forest monitoring, including Landsat and/or Sentinel-1/2 time series. Strong proficiency in Python for geospatial
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are robotics for mines, construction sites, aerial inspection of aging infrastructure, multi-robotic search and rescue, multi sensorial fusion and multirobot coordination, including multirobot perception
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measured using biomarkers as a complement to traditional self-assessment scales. The project includes collaboration with hospitals, patients, other universities, and companies. Your work tasks Your
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for your students, your research, and society at large. In the coming years, multi-billion investments will be made in large projects in Northern Sweden to create a fossil-free society both nationally
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wall composition, remodelling enzymes, and their regulation. Hands-on experience with biochemical characterisation of cell wall proteins, including enzymatic activity assays (e.g. methylesterase
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research profile focuses on development of novel statistical methods and software for the analysis of large and complex data sets. Applications include e.g., evaluation of large-scale achievement tests, and