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the Innovation Fund Denmark. It is led by the Danish SME TEGnology ApS and also involves partners based in Switzerland. The overall goal is to integrate existing, flexible TEGs in façade panels, to test their
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candidate with a strong background in semantic data modeling and knowledge representation, ideally in engineering or scientific domains. You will take the lead in designing, extending, and implementing
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team. We seek a Postdoctoral Fellow with expertise in geochemistry or mineralogy or materials science or other, who has experience in X-ray diffraction analysis (for example, with Rietveld refinement
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information. Experience in continuous variable quantum information processing and entanglement generation is preferred but not required. Experience in programming and data analysis. Ability to work
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protocols for vascularized neuronal tissues Employ 2-photon microscopy to monitor changes in vasculatures in real time Experience in several of these areas is expected. You will also participate actively in
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, or reinforcement learning Proficiency in Python and contemporary software ecosystem for optimization, dada management, and API development Experience with teaching and supervision Experience with IoT, edge computing
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on the design and build of a platform for automated preparation of MOF films on quartz resonators for chemical sensing. This includes the design, build and programming of automated fluidics systems to deliver
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Compliance (DICE --https://digitalcompliance.dk/), and by the Innovation Foundation through Grand Solutions Project XHAILe. Through integration in said projects and within DTU compute, you will have a vibrant
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experience in quantitative modelling, preferably using R. Is fluent in English (spoken and written) and has good communication skills. Is enthusiastic about developing replicable models to address complex risk