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EU MSCA doctoral (PhD) position in Materials Engineering with focus on mechanistic study of biodegra
at metal-electrolyte interface; gain understanding of the factors influencing the initiation and propagation of localized corrosion and associated mechanically assisted corrosion. Research stays are planned
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of harnessing the potential of biological systems. Big data approaches and analysis of biological systems are key research instruments at the Center. DTU Biosustain utilizes these advances for microbial cell
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device for combined human and non-human environmental DNA, to collect and sequence samples for air-borne human and non-human eDNA, and to process sequences for analysis in a forensic context. The expected
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researchers a cutting-edge educational programme that integrates innovative teaching approaches. These include hybrid teaching, flipped classroom activities, as well as remote learning elements to accelerate
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will be working primarily with air quality measurements and analysis of air quality data. The position will focus on indoor and outdoor air quality in relation to children and health. You will be
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PhD fellowship at the Copenhagen Center for Glycocalyx Research at the Department of Cellular and Mo
technologies to study cell signaling and protein modifications providing an essential element of the glycocalyx-focused research at CGR. As such, our core resources include proteomic, glycoproteome data and
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two-dimensional materials coupled to THz radiation: spectroscopic investigations of two-dimensional semiconductors, measurements and analysis using linear and non-linear microscopy combining optical and
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a time-zone in its comparative and political dimensions across the regional contexts under analysis. As part of the ANTHROFUTURE team, you will carry out an ethnography of the digital-physical art
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Languages (ACP ), the section on Topology, Algebra, Analysis and Geometry (TAAG ) and the Centre for Quantum Mathematics (QM ). The proposed starting time is Winter 2026, with some room for flexibility
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, that combines diffusion and transformer models, there are clear indications that the analysis of this data can be automated. This will open new avenues in data interpretation and building predictive models