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risk modelling framework that integrates environmental exposures, socioeconomic context, and health data to understand, predict and prevent cardiovascular, neurovascular and other non-communicable
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contaminants. The successful candidate will contribute to a cutting‑edge research effort aimed at transforming environmental monitoring and water treatment. Key Tasks: Conducting excellent collaborative research
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vacuum, but perceive it as a living organism existing in a dynamic environment of interconnected concepts, such as not only ESG (Environmental, Social, and Governance), but also the circular economy. The
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econometric and machine learning frameworks to analyse the causal relationships between transport behaviour, residential energy consumption, and environmental outcomes in urban systems. The successful candidate
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PhD Studentship: Green vs. Non-Green Innovation: The Role of Regulatory Policies and Market Dynamics
and financial constraints influence firms’ choices between green and non-green innovation, using theoretical models and firm-level data to assess whether environmental policies stimulate or hinder
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plant stem cell niches. We are seeking a candidate to study molecular mechanisms involved in how plants sense and respond to environmental signals. We are particularly interested in using hypoxia as a
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vegetation-enhanced performance will have significant application. Working in the University’s world class COAST Laboratory, you will develop and validate physical modelling techniques to represent vegetation
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experience in the processing and integration of massive datasets (‘big data’), they will contribute to ecological modelling, environmental impact forecasting, and soil biodiversity analysis in the central
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2 Apr 2026 Job Information Organisation/Company University of Basel Research Field Biological sciences » Other Environmental science » Earth science Environmental science » Ecology Geography » Other
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, with rich clinical, dietary, environmental, and socioeconomic data. Using metagenomics and untargeted metabolomics, you will identify microbial species, pathways, and metabolites associated with PD, and