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Zeppelin airship Apply advanced data analysis methods, including statistical tools and programming, to large multidimensional datasets from chamber and airborne experiments Present your results
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strategies, moving from linear models (regression, mixed models) towards neural network architectures, with comparative analysis of performance gains and interpretability. • Integration of the developed
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an interdisciplinary environment; Willingness to travel within Europe for network activities and secondments (including research stays at i3S, Portugal). Desirable Experience in glycan analysis or glycomics workflows
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with eMBB/URLLC network slices and implement a proof of concept including the integration of the coding system for advanced immersive applications developed in the VITAL project; v) Dissemination
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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
with word embeddings, semantic modelling, and/or network analysis Ability to work independently as well as collaboratively in an interdisciplinary environment Excellent written and spoken English
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and will lead qualitative, participatory, and stakeholder-facing aspects of the project. They will design and run co-design workshops, contribute to analysis and evaluation, and work closely with
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Preference will be given to those with proven knowledge and experience in undertaking research related to social network analysis. For the project information and job inquiries, please contact the Principal
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Description The European Doctoral Network "A Coherent Analysis Framework for Emergence in Biological Systems" (CAFE-BIO) is looking to recruit 15 excellent Doctoral Candidates (DCs) at 12 leading
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investigate deep learning architectures capable of learning microstructure-property mappings, including convolutional neural networks for microstructure image analysis, graph-based representations
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impact on University policies and procedures. Participate in external networking opportunities to enhance sector knowledge and to share best practice with/from other institutions. Lead the local delivery