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interactions/contacts. Monitoring and analysing contact pressure, surface contact distribution, and friction and movement patterns for personalised adjustments to equipment (and training). Based in both
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03.06.2021, Wissenschaftliches Personal The Albarqouni lab develops innovative deep Federated Learning (FL) algorithms that can distill and share the knowledge among AI agents in a robust and
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03.06.2021, Wissenschaftliches Personal The Albarqouni lab develops innovative deep Federated Learning (FL) algorithms that can distill and share the knowledge among AI agents in a robust and
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and polyploid crop species and benchmark them against other methods such as graph-based methods. This project will combine algorithm development and computational programming with large population
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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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the foreseeable adoption of various energy technologies used in and connected to grids (e.g., distributed generation, storage, electric vehicles, heat pumps, smart energy management systems, etc.) and how to design
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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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) 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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Imaging (MRI), metabolomics and transcriptomics to study allocation and distribution of assimilate and metabolites in plants with special emphasis on seeds. Yield in cereals largely depends on grain filling
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Sustainable Energy AS. Duties of the position The technical work tasks concern: Development of smart algorithms and modules for load prediction and minimization of fuel, energy, and emissions for marine vessels