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acidic peptides and selected post-translationally modified species. The overarching goal is to develop experimentally driven strategies, grounded in gas-phase ion chemistry, that improve peptide and
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Postdoctoral Positions in PFAS Analytics, Degradation, and Thermophysical Properties - DTU Chemistry
high persistence, long environmental half‑lives, and widespread occurrence as contaminants in natural and biological systems. Their low concentrations, diverse structures, and complex behavior create
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peptides and selected post-translationally modified species. The overarching goal is to develop experimentally driven strategies, grounded in gas-phase ion chemistry, that improve peptide and proteome
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entities, such as robots, vehicles, or sensors, forms internal representations of space, time, and motion when interacting in complex non-stationary environments. The objective is to study and develop models
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on “ Integrating AI into Aquatic Ecosystem Models to Decode Ecological Complexity ” funded by Villum Fonden. Within that project, the focus is on exploring novel ways to infer information from environmental data
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The Department of Ecoscience at Aarhus University invites applications for two postdoctoral positions to strengthen our research on image recognition, computer vision and deep learning applied
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of the physical and virtual world, as a basis for the analysis, design, and implementation of complex systems. We focus on ensuring that our research results contribute to creating a better society by supporting