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in Scandinavia. Hyperspectral lidar data analysis and visualization. Administration related to the work duties listed above such as experiment risk assessment analysis and permits for work in protected
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Fluorescence (XRF) mapping and similar, offering detailed structural, chemical, and functional information. A critical component of the project is the development of bio-sample preparation strategies and the
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, beans, and peas—this research will critically investigate how digitalisation, collaborative risk-sharing strategies, and energy-efficient logistics solutions can enhance food system performance during
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narrative/storytelling methods, intersectional analysis, and participatory research, and committed to collaborative engagement with both academic and non-academic stakeholders. The role requires theoretical
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in the area began in the mid-1980s and currently includes (i) Geometry and computer vision (including analysis of video, audio, radio, and radar signals), (ii) Medical image analysis, and (iii) Machine
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description The postdoctoral project is focused on development and the exploitation of machine learning tools to accelerate the analysis of microtomography data at the MAXIV synchrotron facility. MAXIV
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techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get unprecedented medical
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projects, from proposal writing to data analysis and preparing publications. Interest in developing new experimental setups, sample environments and detection schemes, which can advance experimental
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data acquisition) and profound skills in XANES & EXAFS data analysis Strong track record of publications in X-ray spectroscopy and a strong drive towards research publications Proficiency in English
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circumstances, the doctoral degree can have been completed earlier. Additional requirements: Very good oral and written proficiency in English. Documented experience with coding for data analysis and