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of vegetation, presenting the ability to derive the internal functional traits and physiological properties of trees. This PhD position focuses on developing a method to capture localized measurements of water
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) classification and utilization based on advanced AI technologies, such as regenerative AI, image processing and reinforcement learning, that can improve the energy efficiency and reduce the operating cost and
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a research staff of 180, of which 65 are PhD students. Read more about MBW at the Department of Molecular Biosciences, The Wenner-Gren Institute (MBW) . Data-driven life science (DDLS) uses data
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of MSI advances our understanding of complex brain processes. The prospective PhD candidate collects brain MSI data and develops novel machine learning methods in connection to generative models such as
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. Presently DEEP is made up of 25 research groups, 35 PhD-students and 10 postdocs. The research environment is characterized by its international focus and collaborative and stimulating working environment
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includes image data processing/analysis and writing project reports. Qualification requirements Required Qualifications PhD in molecular biology or equivalent competence. Experience working in a laboratory
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these processes using large-scale population genomic data from modern-day and prehistoric humans. The PhD position is part of the The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS
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-rich sequences. These intricate structures are thought to function as critical protein-binding sites, influencing essential processes such as transcription, replication, telomere stability, and DNA
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in Python and MATLAB, particularly in machine learning, data analysis, and image processing. Experience working in Linux environments. Ability to collaborate in interdisciplinary teams and work with
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& Immunotherapy group studies why chronic neurodegenerative diseases occur, and then devise ways to prevent or treat them, applying a range of molecular immunological techniques, experimental models and patient