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applicable security measures; supporting engineering, manufacturing, assembly, integration and testing (AIT/AIV) activities relating to the satellite platform, including organising satellite-/platform-level
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intervention. - Designing and evaluating socio-technical interventions – Prototyping and testing interventions, such as novel explainable AI techniques, to help humans effectively detect and mitigate bias in AI
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for pioneering 3D hepatocyte organoid systems and continue to develop organoid-based platforms for mechanistic discovery and preclinical testing. Our offer We provide a full-time position (36 hours) in a
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of dissolved (DOM) and particulate organic matter (POM) by seagrasses and to what degree this contributes to carbon burial in these systems. This project will examine the role of microphytobenthos (MPB) in
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programmatic domains. The Section provides technical advice and support to projects in the area of system verification, from early phases up to environmental testing and launch campaigns. The team’s expertise
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engineering Understanding of related technologies, R&D trends and the industrial landscape Data analytics (e.g. Power BI) Experience with software development would be considered an asset (such as Python
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postdoctoral researcher, you will use various techniques to investigate fiber-reinforced structures in nature (i.e., fungi), including additive manufacturing, computer simulations, materials testing, and
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education. Specifically, the tasks are: Design, implement and validate a tool to collect and analyze learning demands of learners. Design, implement and validate a modular software architecture that can
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, spacecraft system and mission design, and analysis, as well as a valuable data source for studies and other research domains. This research aims to develop a lightweight software system, written in Python and
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or environmental assessment, and by developing annotation manuals and tests on a gold standard. This position is part of the ERC-funded project GeoTrAnsQData, which develops the foundations of a transformative GeoQA