79 high-performance-quantum-computing-"https:" "https:" Postdoctoral positions at Aarhus University in Denmark
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to update our scientific conceptual models. The data foundation will come from the long-term lake monitoring initiative LTER-DK, which includes several Danish lakes equipped with real-time and high-frequency
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research profile within organisational studies, Computer-Supported Cooperative Work, Human-Computer Interaction or related research areas as documented by a PhD dissertation and/or research publications
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topics. High-level experience with software environments for statistical computing, preferably ”R”. Commitment to open and reproducible research practices An inquisitive mindset and an enthusiastic
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sampling, combined with laboratory-based metabolomics, microbiome analyses and quantitative PCR. We expect that you will report research results in high-impact scientific journals. We also expect that you
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Join us at the Department of Electrical and Computer Engineering at Aarhus University for a postdoctoral position focused on deep learning based analysis of remote sensing data for groundwater
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environment. We also expect that you will take part in our teaching activities and that you will report research results in high-impact scientific journals. Your profile We are searching for a highly motivated
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models of complex physical systems starting from data, ranging from robotic systems to traffic and turbulent flows. We are implementing these methods in high-performance open-source libraries to make them
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and that you will contribute positively to the social working environment. We also expect that you will take part in our teaching activities and that you will report research results in high-impact
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position is primarily research-based but may also involve teaching assignments. You will contribute to the development of the department through research of high international quality. In your daily work
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the foods of the future. A high level of verbal and written communication in English Practical abilities to carry out experimental research, and excited to develop new experimental setups. Demonstrated