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contributing to specifically the area of handling spatial data to assess the distribution of several soil properties and fungal communities using samples collected from multiple habitats and land use types at a
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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 Centre. DTU Biosustain utilizes these advances for microbial cell
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, the pharmacoepidemiological research group utilizes the world-class Danish registries as well as international data sources to assess pharmacological questions in large populations. The translational pharmacology group aims
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. Quantifying circular economy strategies for wind turbine rotor blades, including reuse, recycling, and feedback loops. Assessing the climate mitigation potential of circular construction materials through data
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and proposal preparation. Required qualifications: As a formal qualification, you must hold a PhD degree (or equivalent) in computer science, computer engineering, networking, or related fields relevant
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for fertilization, which might just be the right project for you. The project is integrated in a large effort financed by the Novo Nordisk Foundation. It is led by the Department of Plant Biology of the University
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the EU project Shift2SDV, a large collaborative effort involving 81 partners across Europe. At DTU, the project offers a focused research scope with room for academic exploration. This position focuses
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. The position is on the main Aalborg campus. Job description The PostDoc is part of a large research project on Circular Manufacturing, funded by the Danish Industry Foundation. The project aims to establish a
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Two year postdoc position at Aarhus University for single molecule FRET based investigations of l...
foundation in multiple cryo-EM structures. Here the postdoc will work closely together with a PhD student dedicated to this project. The single molecule data will be obtained by the postdoc at a local state of
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, you must hold a PhD degree in analytical chemistry, chemical engineering, biomedical engineering or other related disciplines. Experience in SERS and SERS data analysis. Experience in sample preparation