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grant applications is an important element. The work includes continuous development of doctoral education and conditions for postdoctoral qualifications, with a strong engagement as a supervisor for
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command of English, both oral and written Below are seen as merits Knowledge and experience of developing scientific instrumentation Solid knowledge of data analysis, computing and programming As a person
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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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and approximately 20 doctoral candidates. Research in computer vision began in the mid-1980s and currently encompasses (i) Geometry and computer vision (including analysis of video, audio, radio, and
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logistics and packaging, with a focus on Industry 5.0 and circular food systems. Development of data-driven models and frameworks to improve supply chain resilience and energy efficiency. Mapping and analysis
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dissection Cultivation of various cell types FACS and cell sorting Molecular techniques such as genotyping, RNA sequencing, ATAC-seq — depending on project requirements Data analysis Additional
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funded by a grant from Hakon Swenson stiftelsen titled Supply preparedness of food: a logistics-based analysis of actors’ perspectives of collaboration, challenges and effects of preparedness stock
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also include technique development work aimed at combining imaging techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a