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- ICFO - The Institute of Photonic Sciences
- INSTITUTO DE ASTROFISICA DE CANARIAS (IAC) RESEARCH DIVISION
- Universitat de Barcelona
- Universitat Jaume I
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- Institut Català de Nanociència i Nanotecnologia
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- Institute for bioengineering of Catalonia, IBEC
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- Nature Careers
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
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Field
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to create a pool of candidates to fill vacancies for junior research staff (PI) to work in this organisation. Projects from the University Jaume I. Research group: INIT (Institute of New Imaging
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systems, quantum imaging and processing. The hosting group has developed technology for continuous variable quantum key distribution and quantum random number generation, now being commercialized by two
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credentials pursuing a PhD in application of artificial intelligence for image processing. Post-doctoral candidates with experience in AI applied to material science and/or XCT are also welcome to apply
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photodetectors and image sensors based on heavy metal free and RoHS compliant nanomaterials. The project is focused on the development of materials and devices thereof based on Pb/Hg – free colloidal quantum dots
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pool of candidates to fill vacancies for junior research staff (PI) to work in this organisation. Projects from the University Jaume I. Research group: INIT (Institute of New Imaging Technologies
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(Large Language Models), natural language processing (NLP), and conmputational neuroscience to illuminate anomalies in language processing in schizophrenia and related disorders. At the Barcelona end, a
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Europea NextGenerationEU/ PRTR. The main objective of the NEURO2FAB project is to demonstrate a pre-industrial prototype of a hybrid graphene/MoS2 sensor array based on 2D materials and thin-film technology
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the Surgery and Interventional Procedures area focuses on the application of new technologies for the reduction of invasive procedures, application of artificial intelligence in Big Data and image analysis
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Europea NextGenerationEU/ PRTR. The main objective of the NEURO2FAB project is to demonstrate a pre-industrial prototype of a hybrid graphene/MoS2 sensor array based on 2D materials and thin-film technology
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, to train inclusive AI algorithms, by combining big data from existing repositories with small-size imaging studies from low-resource settings. These positions offer the opportunity to take part in