52 data-"https:"-"https:"-"https:"-"https:"-"CNR-IRIB-PALERMO" Postdoctoral positions in Sweden
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development, networking, administrative and technical support functions, along with good employment conditions. More information about the department is available at: https://www.umu.se/en/department
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17 Jan 2026 Job Information Organisation/Company SLU Research Field Computer science Researcher Profile Recognised Researcher (R2) Application Deadline 27 Feb 2026 - 12:00 (UTC) Country Sweden Type
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-Geometric Foundations of Deep Learning or Computer Vision KTH Royal Institute of Technology, School of Engineering Sciences Job description The Department of Mathematics at KTH welcomes applications for a
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recruiting an outstanding and ambitious postdoctoral researcher in computational biology to advance the integration and modeling of large-scale microscopy data using modern machine learning approaches
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and support computational analyses of high-dimensional molecular data related to wound healing and skin biology. Responsibilities include: developing and applying reproducible pipelines for single-cell
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technologies. The target chips include digital signal processors, radio frequency and millimeter wave frontends, data converters, as well as larger systems with a mixture of analog and digital signals. Our
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visual methods. By combining a global mapping of key actors, data flows, carbon credits, and financial transactions with in-depth case studies and insights from farmers themselves, the project will provide
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will also use focussed ion beam milling scanning electron microscopy (FIB-SEM) to prepare infected cells for in situ cryo-ET. The resulting tomographic data will be analysed by machine-learning assisted
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anaerobic culturing techniques (e.g. anaerobic chamber, bioreactor) and analysis of 16S sequencing data. Furthermore, practical experience in working with mouse models is required. Other requirements
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in radiotherapy with the goal of enabling fully adaptive radiotherapy. The work is based on deep learning, where models are trained on generated or clinical data. The project is carried out in