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qualified candidates with disabilities, gaps in their CV, immigrant backgrounds or different life experience to apply. If applicants indicate they have disabilities or gaps in their CV, their details may be
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empirical and remotely sensed data Compilation of data for running a simulation model, model evaluation against independent data sources Assessment of future forest development under different management
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performing computational simulations and technology transfer, will be valued. 8. Pursuant to article 5 of RJEC, the selection is to be made based on the evaluation of the scientific and curricular career
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Virtual Training Environment (VTE) for disaster response simulation, integration of Building Information Modelling (BIM) with Structural Health Monitoring (SHM) using smart sensor networks, and resilience
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, while simulations are subject to error due to uncertainty in nuclear data and unresolved physical processes e.g. thermal expansion and fine-scale inhomogeneities. Generating independent simulation
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-based data. Experience in automated collection of unstructured and structured data in different formats, and translating these into a standard format for analysis, interpretation, and dashboard
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differences in ecologically and economically relevant life history traits are regulated at the molecular level. Variation in a key Atlantic salmon life history trait, maturity age, is strongly influenced by
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Environment (VTE) for disaster response simulation, integration of Building Information Modelling (BIM) with Structural Health Monitoring (SHM) using smart sensor networks, and resilience-informed design
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the project. Project Objectives Characterise the surface properties of reclaimed carbon and glass fibres from different sources and with varying processing histories. Investigate suspension behaviour, including
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contact details, education/previous degrees obtained, prior work/research experience, and list of possible publications and theses with links to their online versions (if available) copy/copies