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-dimensional documentation and recording of archaeological materials and structures using high-precision 3D scanners and in processing digital models. • Track record of scientific publications in prehistoric
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—including diffusion coefficients, charge-transfer kinetics, and transport numbers—to support cell-scale models. Participate in project meetings and present the main research results. Disseminate results
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/Qualifications - Demonstrated expertise in advanced statistical techniques, such as: Multilevel modeling (HLM, mixed-effects models) Longitudinal and panel data analysis Structural equation modeling (SEM) Causal
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Lymphoblastic Leukemia (B-ALL). The project takes a multidisciplinary approach, combining state-of-the-art molecular and cellular biology techniques with genomics, proteomics, metabolomics in mouse models and
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applications and impact in audio, communications, and music technology. - Develop theoretical models of wave propagation and hybrid methods that combine physical models with artificial intelligence techniques
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, using neuroimaging, multi-omics, and AI to advance precision psychiatry. Our work centres on computational models linking environment, brain systems, and behaviour, with a focus on risk, resilience, and
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. Participation in the cannulation and extraction of porcine organs from animal models, following established research protocols. Support in training in the extraction and cannulation of porcine kidneys and livers
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or equivalent Skills/Qualifications Technical Skills: Hydrological analysis and modeling. Spatial analysis using GIS. GIS software (QGIS, ArcGIS). Hydrological modeling software. Processing and analysis
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Computational Nanoscience group at ICN2 develops theory, models and large-scale simulation tools for quantum transport, spin dynamics and emergent computing in low-dimensional materials, in close contact with
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of construction sites and information management Mathematical models for infrastructure impact and infrastructure economics Eligibility: PhD obtained between 1 January 2019 and 31 December 2024 (date of thesis