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industrial fields, such as, for example, quantum simulation and optimization. Share this opening! Use the following URL: https://jobs.icfo.eu/?detail=1044
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environments. Working closely with partners in the NEXPECH₂ project, you will analyze their materials and provide valuable insights to help optimize device performance. Additionally, you will support
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of digital data in DNA. -Contribute to designing and optimizing methods for DNA digital data storage in nanomaterials. -Collaborate with interdisciplinary teams, including molecular biologists, chemists
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) and theoretical perspective, in collaboration with the “Numerical Astrophysics” research team. Research topics at the IAC include most areas of astrophysics: Solar Physics (FS), Exoplanetary System and
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join a consolidated research group at the University of Oviedo. The work will include experimental characterization and numerical modelling of structural materials with applications across various
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innovative experiments. The work will include defining and optimizing in vitro models using diverse cell types and advanced platforms, as well as establishing correlations between applied mechanical stimuli
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environments, specifically Computer Vision, Machine learning algorithms and methods for rock characterization, fragmentation prediction, and mining optimization. Specific Requirements Good academic and
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be clinically tested in a small animal model. (Ref: PID2022-136961NB-I00)(HR25-00225). Main functions: Design, fabrication, and optimization of liquid-walled pumps (Qpump) capable of achieving
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valuable insights to help optimize device performance. Additionally, you will support collaborators by assisting with in-situ TEM measurements, facilitating cutting-edge research in sustainability and energy
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numerical simulation and data processing. Willingness to travel Additional Information Website for additional job details https://www.uji.es/seu/info-adm/tao/convocatoriesRH?pConv=3326&pCategoria=14 Work