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/Administrative Internal Number: 25647 RESEARCH SCIENTIST 1, Computer Science and Artificial Intelligence Lab, will lead computational analyses of large-scale single-cell and spatial multi-omic datasets derived
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, including: i) Using multi-scale (within-host and population-scale) epidemiological models to optimise vaccine dosing (for vaccine development); ii) Improving vaccine targeting and timing for different
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA DELL'ENERGIA ELETTRICA E DELL'INFORMAZIONE "GUGLIELMO MARCONI" | Italy | 5 days ago
requires overcoming the "memory wall" — addressed by PCM devices, analog/digital in-memory computing, multi-chiplet scaling, and 3D-stacked memories. This Incarico di Ricerca, aligned with ARCHYTAS, focuses
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taking place in Ethiopia and Kenya. Where to apply Website https://www.academictransfer.com/en/jobs/360320/postdoc-in-scaling-soil-moistur… Requirements Specific Requirements You are creative, proactive
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or exclusion. To understand how housing takes shape in a multi-ethnic society, the project will identify not only the factors contributing to discrimination against migrants in the urban housing market, but also
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 5 hours ago
Posting Description RESEARCH SCIENTIST 1, Computer Science and Artificial Intelligence Lab, will lead computational analyses of large-scale single-cell and spatial multi-omic datasets derived from
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human activities, and a probabilistic analysis of the risks associated with their development by 2050. 1. Literature review of multi-scale modelling methods for cumulative effects Initially, a
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-preserving techniques, and robust data curation. AI Safety: Ensuring robust alignment and safety in multi-agent LLM systems Efficiency: Streamlining large-scale model experimentation and training. Science of
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worldwide to explore postdoctoral opportunities at leading science and technology institutions in Korea. Launched by the Korean government, the InnoCORE program is a large-scale national initiative designed
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curation. AI Safety: Ensuring robust alignment and safety in multi-agent LLM systems Efficiency: Streamlining large-scale model experimentation and training. Science of Deep Learning: Exploring mechanistic