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. This data will be used as input in climate models to ultimately propose a spatial characterization of bike paths. The methodology will be tested in several areas in France and Switzerland and discussed with
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particular emphasis on its contribution to biodiversity conservation and carbon sequestration under ecological restoration scenarios. The project will integrate spatial analysis, connectivity modelling, and
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students at Bsc and Msc level in spatial research methods and sustainability-related topics. At the PhD level, you supervise researchers working on land use science and spatial modelling. You write project
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regional and political geographies in a globalized world at various spatial scales, from local to global. It addresses topics such as (multi-scalar) governance, state geography, nationalism, identities
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process models from the field of spatial statistics to model clustered patterns across the landscape, and develop methods for estimating plant population size and/or change. Qualifications: Requirements
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. The position combines offshore fieldwork, laboratory analysis and modelling, with clear pathways to publication and impact. The outputs of this role will directly inform MOSAIC’s coordinated conservation
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technologies and biotechnologies to break them down. http://www.recetox.muni.cz/en/career/career-at-recetox About the Research Group The Environmental epidemiology ERA Chair research group integrates approaches
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 4 hours ago
Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 30 Mar 2026 - 23:59 (Europe/Lisbon) Country Portugal Type of Contract To be defined Job Status Full-time Hours Per
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exhibit hallmarks of active matter. This PhD project aims to develop theoretical and computational active-matter models of early mouse embryogenesis that couple collective cell mechanics with gene
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Python, PyTorch, and Linux/command line Familiarity with LLM in-context learning and prompt engineering Basic understanding of modern LLM models, ecosystems, and pipelines, including retrieval-augmented