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Computer science » Digital systems Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Portugal Application Deadline 5 Jan 2026 - 23:59 (Europe/Lisbon) Type of Contract Temporary Job
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Transformation (GALLANT): https://www.gla.ac.uk/research/az/sustainablesolutions/ourprojects/gallant/ . This post will be based in Work Package 2 ‘Biodiversity and societal benefits of ‘natural’ urban habitats
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the services nature provides to people. The position will combine ecological data analysis with statistical and spatial modeling to quantify chemical impacts across multiple levels of biological
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the Assistant, Associate, or Full Professor rank. We welcome applicants with a PhD (or equivalent) in biostatistics, statistics, or a closely related quantitative field. We seek scholars with training in
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strongly preferred Strong interest in wellbeing and beyond GDP Knowledge of statistical and spatial analysis methods and tools, or willingness to learn Proficiency in English, both spoken and written We
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: Completed doctoral/PhD studies in ecology or a related field Research competence and initiative proven through international publications in relevant journals Advanced statistical skills and experience with
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between biodiversity and climate change. The postdoctoral position is embedded in the the collaborative project Past to Future: towards fully paleo-informed future climate projections (P2F; https
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Vision Profiler (UVP), and to analyse its spatial and temporal variability. This will be done by combining different data sources and machine learning (ML). Data used for this ML approach include - a
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transplant rejection through cutting-edge spatial multi-omics and computational metabolic modeling. The role involves developing and implementing computational methods to integrate single-cell and spatial
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change. Experience in quantitative methods, spatial analysis, or handling large datasets would be valuable, but full training will be provided in climate modelling, statistical downscaling, and health