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Job Description Many industrial processes generate wastewater with small oil droplets stabilized by surfactants, the same goes for accidental spills of fuels incl biofuels and various process oils
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combining CRISPR-based endogenous protein tagging, advanced quantitative imaging, and biochemical approaches, this project seeks to uncover novel principles of replisome plasticity. A key long-term objective
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Imaging Consortium (DanSIC) within Molecular Bone histology (MBH) lab at the Research Unit of Pathology , the Department of Clinical Research , Faculty of Health Sciences , University of Southern Denmark
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: Programming skills (Python, and/or C# or similar programming language). Knowledge of some of the following fields: medical image data, database structure, image processing, creation of user-friendly WEB pages
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cellular processes efficiently. This project aims at understanding the formation and functioning of aggregate-forming Archaea-Bacteria partnerships. The project involves working with syntrophic deep-sea
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cellular processes efficiently. This project aims at understanding the formation and functioning of aggregate-forming Archaea-Bacteria partnerships. The project involves working with syntrophic deep-sea
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electroluminescence and photoluminescence imaging, preferably daylight and field-based methods. Proven skills in data analysis, image processing and machine learning. Experience with PV performance modelling, power
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dimensions offer a paradigm-shifting approach to photonic systems, enabling the study of high-dimensional lattices physics using low-dimensional photonic systems. Our research combining quantum physics and
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setups. Build and Experiment : Lead the hands-on development, calibration, and testing of the prototype diagnostic system in our lab and at leading international fusion facilities. Collaborate : Work