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Project Description We invite applications for a postdoctoral position in experimental mass spectrometry-based proteomics, focused on peptide ionization, charge state behavior, and fragmentation
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environmental concern. PFAS contamination in drinking water and in wastewater demands permanent solutions for removal and destruction. Current methods have various disadvantages, especially related
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) that is based on redox-active organic building blocks. These building blocks enforce charge delocalization and give rise to exotic quantum states that relate to superconductivity. This project will focus
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limited to one year with the possibility of extension. The research assistant position may potentially lead to the opportunity to begin a PhD position based on the candidate’s career stage and wishes. We
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of technological business models in collaboration with our in-house innovation hub. Your profile The ideal candidate is expected to hold a PhD in Physics, Photonics, Electrical Engineering, or a related field, and
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Postdoctoral Researcher Position in Ecological Knowledge-Guided Machine Learning at Aarhus Univer...
ecosystem models to evaluate if the respective hybrid MCL models are improving their performance. The overall project aim is on refining current aquatic ecosystem models by building models based on KGML
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). Manuscript preparation, dissemination of findings, and active participation in collaborative research activities are integral parts of the position. Expectations of qualifications The applicant must hold a PhD
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is expected to start 1st of February 2026 or as soon as possible and will end 31st of December 2028. Job description The postdoc position is focused on understanding spatiotemporal current patterns
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such as potato and tomato, contributing broadly to more climate-resilient agriculture. Qualifications PhD degree in Plant Science or related discipline Expertise in gas exchange and chlorophyll fluorescence
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will work experimentally with already established datasets of soil hydraulic and physical properties, including soil water retention and hydraulic conductivity measurements, and supporting datasets