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characterization of materials for soft robotics applications (SAM3/ESR12 – soft robotics) This project takes place within the Marie Curie Doctoral Network on Soft Active Matter Microrobots for Medicine (SAM3
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adaptive genomic differentiation along elevation in high tropical mountains. You will benefit from international networking, hands-on bioinformatics training and research mobility thanks to our close
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system integrates robotics, automated sample handling, sensor networks, imaging systems, cloud computing, and machine-learning-based analytics. The research work at NTNU will focus particularly
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Candidates (DCs) of the MSCA Doctoral Network AEGIS — Adaptive Grid-Interactive Edge Datacenter Fleets . Marie Skłodowska-Curie fellowships are among the most respected and best-paid PhD positions in Europe
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the structure and function of microbial communities in Antarctic marine sediments. Fermentative microorganisms play a key role in the initial anaerobic breakdown of organic polymers, supplying substrates
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monitoring 96 parallel cell-culture experiments under precisely controlled environmental conditions. The system integrates robotics, automated sample handling, sensor networks, imaging systems, cloud computing
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PhD position on quantum error correction for photonics. Job description As part of a new European Marie Curie Doctoral Training Network focused on quantum error correction and fault tolerance
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 3 months ago
an experience in computer networks. Theoretical expertise: distributed systems, P2P networks Good collaborative and networking skills, excellent written and oral communication in English Good programming skills
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explores the convergence of criminal, terrorist, cyber, and hybrid actors. 2.1 Transformation of Organized Crime ·AI-enabled organized crime ·Evolution of criminal networks in Romania and the region 2.2
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applications. Develop scalable EMT simulation methodologies for large transmission systems. Investigate model reduction, dynamic equivalencing and network partitioning techniques. Develop parallel and high