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research environment focusing on integrating multi-source data and developing novel algorithms to address the challenges posed by global environmental change. You will focus on integrating experiments, field
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hubs. Control and optimization of power electronics for flexible port energy systems. Modeling, simulation, and experimental validation of port power conversion and electrification solutions. Integration
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Postdoctoral researcher position/Postdoc in anti-methanogenic potential of bromoform and novel no...
compositional and functional analysis of the rumen microbiome by integrated metagenome, metatranscriptome, and metabolome data correlated with enteric methane emission in dairy cows fed the novel seaweed product
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, photography, and sound, and how can these be integrated in accountable knowledge-production and dissemination? Deadline 03 June 2025 Please read the full job description and apply at the university homepage via
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integration. Your work will be central to achieving the project’s ambitious academic, industrial and societal impact goals. DTU Engineering Technology is seeking a post-doc in technology implementation
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an integrative approach involving protein structure prediction by AlphaFold 3 combined with crosslinking/mass-spectrometry and single particle cryogenic electron microscopy on native or recombinant TZ complexes
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fabrication methods (robotics) while integrating real-time lifecycle data into decision-making that substantially reduces the construction phase’s environmental impact. The selected candidate will work on DTs
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exposure as described by the Thermal Death Time model. The postdoc will investigate how mechanisms of thermal acclimation and repair of thermal injury, can be integrated with thermal tolerance measures under
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Electonics Packaging Materials and Emerging Applications and the Postdoc will be positioned to the section for Power Electronics System Integration and Materials. Research areas will be within Power
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environments. Your key responsibilities will include: Developing hydrological models to predict recharge zones using remote sensing and in-situ data. Integrating soil moisture maps, digital elevation models, and