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Field
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spatial analysis of species distribution data, and quantification of ecosystem services. Preference will be given to applicants that possess a diverse set of skills and can contribute to more than one
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Summary Open Position: Research Associate (Doctoral Researcher) Research group: Blockchain and Distributed Ledger Technologies Group Topic: Cryptoeconomics and Tokenomics Starting date: Upon
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also include low-risk applications, precision agriculture and biological control. We develop and underpin scientifically based systems knowledge about spray deposition distribution and exposure. We
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integrating local flexibility markets through distributed AI-based coordination, market mechanism design, and cloud-to-edge computing. It aims to develop scalable machine learning methods for coordinating grid
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the distribution of expression levels in tens of thousands of single cells. In this project, we will utilise state of the art single cell omics to decipher the biological processes underpinning therapeutic rAAV
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) to assess the temporal and spatial distribution and identify hotspots of O3/CH4 pollution in forested areas across Luxembourg, (c) to create a geospatial database of O3/CH4, crops, and (dead) forest trees by
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communication skills, be strongly motivated, and work well in a team setting. A rough effort distribution for this position is indicated below: · Work on assigned projects (~80%) · Review scientific literature
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skills and be interested in developing a collaborative program of applied research in robotics. For example, this may include sensor development, applied robotic perception, algorithm development, or other
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projects. Specifically, the candidate will work with the identification and quantification of the origins of plastic pollution in the Arctic and its distribution in marine ecosystems. The project will be
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contribute to the development of next-generation technologies and tools that could facilitate the integration of renewable generation and other distributed energy resources into the power grid. The successful