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. Integrating new pumping systems and verification of aseptic bubble-free long-term perfusion. Characterizing oxygen and metabolite distribution by advanced microscopy. Performing month-long culture of stem cell
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Job Description We are seeking three highly motivated and talented Postdoctoral Researchers to join our team and contribute to our cutting-edge activities within photonic quantum computing. The open
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of context-aware, distributed, and embedded cyber-physical systems, with a particular focus on Internet-of-Things (IoT) and the computing continuum eras. Our vision is to pioneer advancements in high-tech
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of context-aware, distributed, and embedded cyber-physical systems, with a particular focus on Internet-of-Things (IoT) and the computing continuum eras. Our vision is to pioneer advancements in high-tech
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for the position. Embedded Systems Engineering (ESE) is one of the 10 research sections at DTU Compute. Our mission encompasses the creation of insights that allow the development of context-aware, distributed
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interest and documented skills and experience in using computer-based tools to analyse, simulate and predict capture performance of active and passive fishing gears. A track record of publishing in peer
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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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if the candidate is expected to have a keen interest in digital history, other team members will do the advanced computational analyses in collaboration with the rest of the team’s domain experts
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qualification, you must hold a PhD degree in computer science, software engineering, biomedical engineering, data science, or a similar field. Your project management skills include: Experience in technical
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experience in all these areas is not required, candidates should demonstrate their capacity to undertake quantitative and computational research to address questions about epidemiological dynamics. A knowledge