73 model-driven-development "Integreat Norwegian Centre for Knowledge driven Machine Learning" PhD positions in Spain
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- Josep Carreras Leukaemia Research Institute (IJC)
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- University of Cantabria
- University of Deusto
- University of Girona (UdG) - Institute of Computational Chemistry and Catalysis (IQCC)
- University of Lleida
- University of Santiago de Compostela
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fracture mechanisms in heterogeneous or composite materials. Development and implementation of advanced constitutive models and computational mechanics methodologies. Processing and analysis of experimental
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realistic oxide nanoparticles with sizes from a few 10s of atoms to several 1000s of atoms. In each case, machine learned interatomic potentials (MLIPs) will be developed to describe their structure and
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an observatory of these ecosystems and to develop data-driven methods that make their activity legible: characterising how illicit practices emerge, stabilise, and spread across platforms, communities, and
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to the development of techno-economic models, and supervise the PhD candidate in all research activities related to energy economics. The researcher will work closely with the principal investigator and the project
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environment and receive training in complementary experimental approaches in cellular and synaptic neuroscience. The project combines primary neuronal cultures, mouse models, advanced fluorescence imaging
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. Experience with finite element software development. Experience with machine learning and data-driven modelling. Experience with high-performance computing. Previous scientific publications. Qualification
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to staff position within a Research Infrastructure? No Offer Description The project explores extreme light–matter interactions at the nanoscale, developing advanced theoretical models in direct
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for: The selected candidate will develop their thesis within one of the following four research lines: Early-age microcracking: monitoring and sensor development AI-driven management of sustainable concrete Digital
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experimental models to improve our understanding of EBV-driven mechanisms involved in multiple sclerosis. Main responsibilities and duties: Perform the phenotypic and molecular characterisation of EBV-infected B
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PhD position in the framework of the ERC Consolidator Grant project “Swarming supramolecular robots” (Suprabot; proposal number 101087514). The project aims to develop fully synthetic, micron-sized