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Field
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Infrastructure? No Offer Description This project takes place within the Marie Curie Doctoral Network on Soft Active Matter Microrobots for Medicine (SAM3). This doctoral network of 12 PhD candidates aims
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control with Git, typesetting with LaTeX, use of Linux computers; Experience with convolution and transformer-based neural networks for image analysis; Experience with graph-based methods, and graph
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joint research unit (UMR CNRS 7315) operated by the CNRS and the University of Limoges. Affiliated with the CNRS Institute of Chemistry (INC), IRCER conducts research on the understanding and control
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-neutral industries, with a particular focus on the interaction between AI data centers, direct air carbon capture (DAC), district heating networks, and other industrial processes that can effectively
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engineering of controlled cellular microenvironments. The PhD will be conducted in a highly interdisciplinary environment at the interface of soft matter science, biomaterials engineering, microfabrication
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WP2, a doctoral candidate will perform controlled experiments on mature trees at the KROOF experimental site, and partially at the Swiss Canopy Crane II site, which both are whole-ecosystem rainfall
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written and oral English are a prerequisite. English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd
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local universities and focused instruction by ICFO professors, in a stimulating, international and interdisciplinary environment . PhD-students have the opportunity to take advantage of our network
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develop advanced models, algorithms, and control solutions for simulating, optimizing, and operating future integrated energy systems. We address the challenges arising from the increasing integration
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Network that aims to bring Electric solar wind sail (E-sail) from Low Earth Orbit (LEO) demonstration missions to the operational environment of the solar wind. It is delivered by 8 universities in