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systems, and the development of methods for agriculture and forestry. SLU offers a broad research portfolio that enables interdisciplinary collaborations. There are substantial opportunities for applied
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, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab
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information about the program can be found at Doctoral studies at the Faculty of Medicine . Background and description of tasks The PhD student will use state-of the-art methods such as cryo-electron tomography
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atmosphere. The mid-sized city (100,000 inhabitants) provides affordable housing, numerous cafés and restaurants, excellent sports and cultural facilities, and easy access to scenic nature reserves, hiking
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We are offering a WASP, The Wallenberg AI, Autonomous Systems and Software Program, funded PhD position that provides a unique opportunity to develop deep expertise in robotics, machine learning
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-based methods to improve cancer therapy Your profile Qualifications PhD in bioinformatics, computer science, biology, medicine, or mathematical statistics. Experience in cancer research and analyses
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of the project Bacteria are constantly predated by viruses, bacteriophages. To resist predation, bacteria employ numerous antiphage defence systems, with the most famous being CRISPR-Cas. In our lab we discover
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-core fibers. Fluency in English, both in oral and written forms. Highly meritorious: Knowledge in theoretical/numerical methods for simulation of thermo- and fluid dynamics. Knowledge in optics. Ability
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international collaborations. The department is responsible for courses in 14 of SLU's educational programs, e.g. the agronomy programs, the bachelor's program in biology and environmental science, the master's
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failures. We offer access to unique experimental data and computational tools developed by our research team for addressing a timely societally relevant problem. Project overview The aim is to unravel