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. The fundamental insights are obtained first by time- and temperature-resolved optical and luminescence spectroscopy, combined with a variety of techniques to analyse the structure, (defect) composition and
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together nine demonstration sites across the Mediterranean — from the Aegean Islands and Central Greece to Sardinia, Catania-Ferla, PACA, Aragón, Alentejo, İzmir, and Nicosia — to scale up nature-based
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ambient pressure remain insufficiently understood. Establishing which physical mechanisms, dimensionless parameters, and scaling laws remain valid across these scales is therefore both a fundamental and
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design, train and implement ARCA: an AI foundation model for crop microbiomes. You will work at the interface of deep learning, bioinformatics and microbial ecology, using large-scale microbiome and genome
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, you will design, train and implement ARCA: an AI foundation model for crop microbiomes. You will work at the interface of deep learning, bioinformatics and microbial ecology, using large-scale
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Psychology section, you will: develop a validated measure of State-Based Impostorism (SB-IP) conduct scale development studies, including item generation, factor analyses, and validation research design and
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to their imperfect representation of ocean and sea ice interactions at sub-grid scales. This project aims to improve our physical understanding of these fine-scale processes, including the melting and breakage of sea
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well-being, accessibility, safety, and social cohesion, and translate multi-site data into comparative insights and practical tools for cities and practitioners. What you will do In this Postdoc position
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and policies. Building on innovative research developed at the Erasmus Institute on Culture and Stratification, the project harnesses the advantages of in-depth qualitative and large-scale quantitative
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effects of joint schoolyard-street transformations on community well-being, accessibility, safety, and social cohesion, and translate multi-site data into comparative insights and practical tools for cities