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No 101073106) The main objective of the GECKO project is to bridge the existing gap between the CAD and the computational models (CAE) and integrate them within the industrial workflow. This will imply
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of work: low-resolution algorithms, model optimisation with HPC techniques, edge computing, quantum computing, energy-efficient compact data structures, NLP optimisation. Justification of duration A
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models, clinical approaches, AI methods (e.g., NLP), and neuroimaging, with opportunities to participate in network-wide events and international training activities. The position includes implementing a
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to establish human–rodent chimeric models of the spinal cord. Evaluate engraftment, human cell integration, vascularization, and neuronal maturation using histology and advanced imaging. Injury induction and
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THE UPV'S RESEARCH STRUCTURES – SUBPROGRAMME 2 (PAID-01-22) 117474 The overall objective of the proposed offer is the development and study of advanced methods for analysing accidents in nuclear reactors
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reviewed to ensure progress and alignment with the project goals. The planned activities include, among others: Deterministic growth of graphene nanoribbons. Structural characterisation of the synthesized
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organization. The position focuses on epidemiology and modelling plant disease in fruit trees with a deep knowledge on the biology, epidemiology, modelling and management of diseases of fruit trees, accordingly
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) for the modelling of biological systems in marine and fishing environments. Advanced techniques for marine sampling: use of plankton nets, drifting buoys, Niskin bottles, Secchi disks and oceanographic
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the spatiotemporal and structural dynamics of reading networks using advanced neuroimaging methods. The position offers interdisciplinary training in behavioral, functional, and structural MRI, alongside hands
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: Associate Researcher to support and collaborate in research tasks corresponding to his specialisation related to the structural characterization by computational methods of coordination compounds and the