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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 7 days ago
context of the ANR PRCI CoDaLi project, with Inria Rennes and the RPTU (https://rptu.de/ ). The general objective of the CoCoDaLi project is to design and implement offline and runtime techniques that allow
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Reference Number BAP-2026-500 Is the Job related to staff position within a Research Infrastructure? No Offer Description Modern embedded AI systems rely on Deep Neural Networks (DNNs) running on resource
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. This project will explore potential for embedding core transdiagnostic intervention components for youth affected by adversity into such provision, thereby enhancing this key source of support. As such
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. A key additional aspect is the use of functional structure within the proteome-such as protein-protein interaction patterns, structural similarity, and data-driven embeddings derived from sequence
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Chemistry group, all within the Department of Molecules and Materials. Interdisciplinary collaboration: You’ll be part of the MESA+ Institute embedded in the world-class NanoLab infrastructure, and
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candidate for a full-time PhD position in Advanced Physical Security of Embedded Systems. You will become part of an active and interdisciplinary cybersecurity research environment and have the opportunity
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-world problems in collaboration with our industrial partners. Where to apply Website https://phd.fbk.eu/calls/detail/symbolic-model-checking-techniques-for-embedded… Requirements Research
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interdisciplinary work in the areas of spatial biology, image analysis, single-cell biology and genomics. The research group is embedded in the Wallenberg Center for Molecular and Translational Medicine (WCMTM) and
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technologies aimed at assessing, protecting, and repairing donor livers before transplantation. This PhD project is embedded within the multidisciplinary CRISPR-CRYSTAL consortium, bringing together experts in
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process data locally while ensuring efficient and scalable artificial intelligence at the edge. TinyML and Edge AI have demonstrated the feasibility of embedding machine learning models on such devices