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industry, to make the luminescent materials. Targeted materials are Yb³⁺-doped inorganic semiconducting sulphide materials, emitting in the infra-red spectral range, where silicon solar cells have high
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The ultimate objective of this project is to detect cognitive strategies in single-trial EEG data. In very broad terms, we will use the HMP method (https://github.com/GWeindel/hmp ) to discover
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running computational pipelines for transcriptomic and multi-omics data analysis and interpretation. Within the scope of the project, you will have the freedom to propose and drive the direction
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workshops, combining online, onsite, and hybrid formats to ensure meaningful, face-to-face connection alongside digital reach; Co-organise a conference in spring 2027 (probably in Spain), bringing together
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the hospitals for the design of the heart failure care pathway. Where to apply Website https://www.academictransfer.com/en/jobs/362171/postdoc-data-interaction-for-re… Requirements Specific Requirements PhD in
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Postdoc in Application of eXtended Reality for Inclusive Automated Vehicle and Road User Interaction
question remains largely unanswered: how can AVs interact safely and effectively with vulnerable road users (VRUs), including people with disabilities? Such interactions involve complex human decision-making
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. The Sensor Performance, Products and Algorithms (EOP-GMQ) Section has a wide range of functions to serve the end users of Earth observation missions with the best possible product quality. Among the tasks
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. Marieke de Goede. The project is funded by the European Research Council (ERC) through an Advanced Grant. For more information, see https://cordis.europa.eu/project/id/101199713. Join Us! We are looking
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the Land Use Planning chair group. The Land Use Planning chair group investigates how we deal with scarcity of space. An increasing number of actors claim space for a wide range of activities: energy
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interventional questions automatically will help decision-makers solve complex challenges (i.e., reducing methane emissions or reducing the infection rate during a pandemic). Most machine learning algorithms