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large international Horizon Europe research project focused on enhancing climate benefits and ecosystem services in forested and rewetted peatlands across Europe. Your task will be to investigate
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digital co-simulation platforms (e.g., Modelica-Python/Simulink) Applying machine learning and data-driven approaches to enhance the operation of district heating substations Participating in course
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of neuroimaging data and experience with computer programming, in particular Matlab. You have a strong interest in music. You have good interpersonal skills, are friendly, helpful, and able to contribute to a good
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immunological assays are developed and conducted, and The Biomedical Laboratory at SDU, which houses state-of-the-art small- and large animal facilities. The postdoc will join the group of Professor T. E
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circular plastics economy. Learn more about the project at https://inano.au.dk/about/research-centers-and-projects/enzync . Note that the current position is based at DTU, Lyngby. Further information may be
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the world-class Danish registries as well as international data sources to assess pharmacological questions in large populations. The translational pharmacology group aims to understand variability in drug
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microscopy, optical interferometry, vacuum technology, finite element method simulations will be involved. Applicants should hold a PhD in Physics, Nano-science, Engineering or similar, experience with optics
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Postdoctoral position in structural and biophysical analysis of plant hormone transporters within...
University, comprising a vibrant research and education environment. The department currently has 75 full time scientific staff, 95 PhD students and a yearly uptake of around 160 students housed in the same
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of single indistinguishable photons for photonic quantum information technology. Single-photon sources play an important role in photonic quantum information applications, which generally require near-unity
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will work with data collected from the field to the spatial scale, and investigate spatial optimization approaches to improve the model parameterization at the spatial scale. We expect that you will be