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for three consecutive periods (2014-2018 and 2018-2022 and 2023-2026). ICN2 comprises 20 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different
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Researcher in Reverse Genetics and Vaccine Development - Classical Swine Fever Line (IRTA-CReSA, Barcelona) to join our Classical swine fever research line in the Animal Health Program located in IRTA-CReSA
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++/Pythonl - Software engineering/Collaboratory/Open source software development - Experience in developing and managing robotic simulations using GAZEBO and ISAAC SIM. - Knowledge and practica! experience in
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. ------------------------------------------------------------------------------------------------------------------------------------------------ -Microscopic and mechanical characterization of the alloys. -Analysis of the mechanical data obtained and <b>development</b> and application of...
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Description The postdoctoral candidate will develop in silico models to approximate the regulation of IVD degeneration with emphasis on the interplay between the innate immune system and the CEP. The work
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to develop novel strategies that contribute overcoming critical resource bottlenecks in energy devices. The successful candidate will be joining the CO2 Mitigation Accelerated by Photons group led by Prof. Dr
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Encapsulation Technology - Memtec - URV (https://memtec.recerca.urv.cat/en/ ) Memtec Research Group of the Universitat Rovira i Virgili aims to generate knowledge and develop new products and new technologies in
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? No Offer Description PID2022-141627NB-I00: A MODEL FOR LESS IS MORE: development of Oikopleura dioica as an evolutionary knockout model to study the impact of gene loss on the evolution of gene
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? No Offer Description PID2022-141627NB-I00: A MODEL FOR LESS IS MORE: development of Oikopleura dioica as an evolutionary knockout model to study the impact of gene loss on the evolution of gene
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. SILEX 2025) to calculate the Fire Radiative Power (FRP) and compare with satellite observations (VIIRS, SLSTR, FCI). Develop a fire front segmentation algorithm using machine learning techniques (deep