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-authored. Present the project and its research findings at academic conferences. Develop ways of disseminating the project's results to wider audiences, for example through blog posts, newspaper articles
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application! This recruitment is linked to the Impact Innovation program Swedish Metals and Minerals – an initiative of Energimyndigheten, Formas and Vinnova. Read more: https://impactinnovation.se/program
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Job related to staff position within a Research Infrastructure? No Offer Description AI4IV is an Italian start-up company developing innovative on-silicon solutions based on a bio- inspired approach
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. The goal of this PhD Thesis is to bridge these dimensions, moving beyond rigid profiles to develop adaptive, context-sensitive persona models. By integrating deep profile characteristics with real-time
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develop evaluation frameworks that capture not only overall system performance, but also real-world utility, fairness, and responsiveness to the needs of diverse stakeholders. Where to apply Website https
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with factual accuracy, complex reasoning, and the nuanced social dynamics of harmful content. This PhD project aims to overcome these hurdles by developing knowledge-enhanced neural generation frameworks
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staff position within a Research Infrastructure? No Offer Description Challenge: Design building renovations under future uncertainty. Change: Develop uncertainty-aware life-cycle methods to optimise
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application! We are looking for a PhD student in Medical Science, AI and Bioinformatics. Your work assignments This project aims to develop AI foundation models for integrative single-cell and multi-omics
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within a top-tier international environment. The goal of the proposed project is to unravel new mechanisms of ovarian regulation in mammals involving the ovarian epithelium during development, ageing and
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 30 days ago
preserved at ambient temperature provided it is protected from light and humidity. Goal The goal of the project is to develop an algorithm to allow robust retrieval of data in the context of DNA-based data