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statistical inference, quantum metrology, and quantum machine learning. The group 7 senior researchers (4 full professors), 5 postdoctoral researchers, and 12 PhD students. Its members have a strong
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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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: 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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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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the consequences of climate change and strengthen the resilience of mountain areas. The thesis will be based on a multidisciplinary approach combining statistical analysis, level-meteorological modeling, and machine
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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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of statistical packages (Stata, R or equivalent). • Experience in spatial analysis and use of Geographic Information Systems (GIS). • Ability to work with large databases and data management tools. Languages
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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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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