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, 3, 12, 13): DC2: Infection biomarker discovery in chronic wound models DC3: Infection biomarker monitoring in environmental samples DC12: Optimizing bioreceptor function in interaction with graphene
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at DTU within the BUG-ID network (DCs 2, 3, 12, 13): DC2: Infection biomarker discovery in chronic wound models DC3: Infection biomarker monitoring in environmental samples DC12: Optimizing bioreceptor
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the measurement of blood and, in particular, measurements from a blood gas analyser. Often, blood samples can be incorrectly measured due to gas contamination, delayed analysis time or other disturbances
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experimental observations of fatigue and corrosion fatigue failure in AM samples. The goal is to establish causal pathways for understanding failure in AM components. The position will involve development
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to characterize individual tumour cells isolated from patient blood samples. The project builds on molecularly imprinted polymer (MIP)-based probes developed by MIPrecise partners to selectively capture and
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for near-field interaction and in vitro sensing of lossy materials including human tissue and realistic cell culture samples. As a part of the project, the Danish company HHC medical will provide
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) further study of the method, to understand how the 13C signal develops and is distributed in the plant, and how sampling can be optimized to show such effects of even shorter dry periods, typical
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robustness Integrate the developed process with existing PFAS treatment technologies Analyze samples using advanced chemical and spectroscopic techniques (e.g., LC-MS, IC, TOC) Disseminate findings through
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sample preparation Desirable Qualifications Prior experience with negative ion mode MS is an advantage Interest in computational proteomics workflows Programming or scripting skills (e.g., Python, R
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students. In the project you will: Perform longitudinal proteomic and degradomic analyses of wound healing models and clinical samples. Identify proteolytic cleavage sites and post-translational