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of Geoscience and Remote Sensing , we develop advanced methods and instruments to observe and understand the Earth system. Combining satellite, airborne and ground-based measurements with modelling and machine
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learning methods to understand and investigate the functional behavior of gender-specific cancers. The work will include: Development of ML/DL methods for multi-omics data analysis. Design and implementation
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applying machine learning and computational methods for protein design, in close integration with experimental enzymology and biocatalysis. The tasks include: Development and application of AI and machine
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acquisition and clinical interpretation. The aim of this postdoctoral project is to develop and evaluate AI‑based methods that reduce operator dependence in ultrasound imaging, with a focus on clinically
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for the position: A doctoral degree or an equivalent foreign degree Strong competence in, for example, epidemiology, biostatistics, or qualitative methods A strong ability to collaborate with other researchers, a
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within a Research Infrastructure? No Offer Description Job description Electrodeposition is a versatile and accessible method for preparing metallic nanostructures and alloys with tunable morphology
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researchers, teachers, students, and managers in choosing teaching methods, publishing methods and information sources. Our library environment creates open meeting places for everyone. At the Division
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of advanced modelling and machine learning methods, and may involve the following areas: Dimensionality reduction. Data-driven methods for estimating dynamical models Data-driven methods for estimating
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Do you want to shape the future of biomanufacturing by combining computational biology with cutting-edge AI methods? We are seeking a postdoctoral researcher at the Division of Systems and Synthetic
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200 staff and ~60 Ph.D. students. Please read more about the department’s work at https://www.uu.se/en/department/cell-and-molecular-biology . This position is based in Johan Elf’s research group