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mechanistic AI agents into physical experimentation cycles-enabling rapid, transparent, and reproducible design of advanced electrocatalysts. The position will be part of the Artificial Intelligence Platform
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the physical (and social) world. To move toward truly autonomous (and socially intelligent) agents, this research theme focuses on the development of World Models specifically tailored for human behaviour
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signals, representing the beginning of multi-messenger astronomy. At the moment, LIGO and Virgo observation plans extend until 2030 with upgraded detectors. At the same time, work is beginning on
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metallic and/ or polymeric coils using additive manufacturing techniques. Development of surface modifications, including topographical features and/or coatings incorporating sclerosing agents, to enhance
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signals, representing the beginning of multi-messenger astronomy. At the moment, LIGO and Virgo observation plans extend until 2030 with upgraded detectors. At the same time, work is beginning on
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hardware constraints, improve system control, and unlock new modes of problem-solving that surpass classical approaches. The ML-QSIM project is built upon a robust multi-node and multi-regional structure
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beyond conventional binary "bits" toward multi-level and analog memory systems that enable richer information encoding. A major thrust of the group is the development of in-memory and physical computing
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Institut de Recerca Biomèdica de Lleida, Fundació Dr. Pifarré (IRBLleida) | Spain | about 2 months ago
person will join the project funded by the European Commission "DistriMuSe: DISTRIBUTED MULTI-SENSOR OPGS FOR HUMAN SAFETY AND HEALTH" and will join the Health Care Research Group (GRECS) within
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studies, imaging techniques, biochemistry, gene expression analysis, experimental data analysis including multi-omics analyses, and the interpretation of statistical results. They will prepare integrated
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analysis of single cell multi-omics data. The researcher will have the support and resources from the Bioinformatics Unit at VHIO. Responsibilities Analyze and integrate high-throughput sequencing data