16 parallel-processing-bioinformatics-"DIFFER" Postdoctoral research jobs at University of Lund in Sweden
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biopesticide development and targeted antimicrobial delivery. The team is interdisciplinary, with expertise in molecular microbiology, structural biology, bioinformatics, and protein engineering, and currently
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new systems with bioinformatics, validate them in microbiological assays and then characterise the mechanisms of defence on the molecular level. Currently the lab is working on many (>10) novel, as-yet
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in the AMBER co-fund project please visit https://www.euraxess.se/jobs/341970 The interviews will start in November 2025. For more information about AMBER, application and evaluation process etc please
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beamline is dedicated to X-ray absorption spectroscopy (XAS) and X-ray emission spectroscopy (XES) experiments in the medium and hard X-ray energy range, 2.4 - 40 keV. The beamline is in user operation since
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spectroscopy data, benchmarked against classical DNA profiling. For this, we are now looking for a postdoc who will assemble a database of Raman spectra describing different microbial species, both in bulk and
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of life processes in the context of health and disease. As a postdoctoral researcher in the AMBER programme, you will benefit from exceptional medical, biological, and methodological capabilities, with
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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
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. The position aims to investigate the fundamental physical and chemical processes underlying the thermal-chemical conversion of green fuels, using advanced high-performance computational methods. The research
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The interviews will start in November 2025. For more information about AMBER, application and evaluation process, visit: ambercofund.eu Minimum Qualification requirements are: Maximum 8 years after a doctoral
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; significant practical experience in 3D image analysis or computer vision; knowledge and experience in scientific programming (python (preferred), Matlab or other relevant language) with application to image