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electroluminescence and photoluminescence imaging, preferably daylight and field-based methods. Proven skills in data analysis, image processing and machine learning. Experience with PV performance modelling, power
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hospital environment. Responsibilities and qualifications The principle responsibility of the postdoc is to implement an improved processing pipeline for SURE and ULM imaging, which can be used in both a
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Anna Rogers from IT Uni. of Copenhagen as well as Jonas Raaschou-Pedersen who is a PhD student on the project. Introduction As part of the project you will be employed at SODAS and affiliated with
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Job Description Many industrial processes generate wastewater with small oil droplets stabilized by surfactants, the same goes for accidental spills of fuels incl biofuels and various process oils
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quantification of microbial Infections of Plant tissues”. This project aims to understand how root nodules are colonized by rhizobia using X-ray tomography and advanced image analyses. The postdoctoral candidate
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PhD degree in economics. Strategy of the Faculty of the Social Sciences The Department of Economics is part of the Faculty of the Social Sciences. The faculty is a successful academic community that
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to the project, uniting experts in battery technology and acoustic signal processing and machine learning. The goal is to harness advanced data science techniques to establish a novel paradigm for online non
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quantification of microbial Infections of Plant tissues”. This project aims to understand how root nodules are colonized by rhizobia using X-ray tomography and advanced image analyses. The postdoctoral candidate
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’ at BMB and the ‘Danish National Mass Spectrometry Platform for Proteomics and Biomolecular Imaging’ (PLATO), which provides a highly international, collaborative, ambitious and innovative research
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embedded in nanoscopic droplets of superfluid helium. Specific projects include, but are not limited to: 1) Time-resolved imaging of cation-molecule complex formation 2) Time-resolved stereodynamics