928 data-"https:" "https:" "https:" "https:" "https:" "https:" "Eindhoven University of Technology (TU" positions in Sweden
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Field
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the local and distant universe. You will join a vibrant and collaborative research environment that combines observations, theory, and data-intensive methods to explore key processes shaping galaxies and
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Doctoral student in Materials Chemistry of Doped Organic Semiconductors in EU Training Network FADOS
is not your native language, Chalmers offers Swedish courses. Discover more Find more general information about doctoral studies at Chalmers here . How to apply The application should be written in
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then: Avancez – forward. URL to this page https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=job&rmjob=14341&rmlang=UK
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“carbon farming” programs, and how data flows between these actors. Actors may include small-scale start-ups, large-scale multinational chemical companies, tech companies, banks and carbon credit platforms
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the integration of AI tools in the research process and within the unit’s own work Lead and develop JU’s work on research data and open science Coordinate research-related activities and initiatives across JU
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and tissue culture. Molecular biology and immunohistochemistry. Image analysis, data visualization, or programming. The position is full-time and limited to 6 months. Application Your application should
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datasets from Fennoscandian lakes—including climate data, water chemistry, biotic indicators, and satellite remote sensing. The main goal is to identify critical ecological thresholds that, when not met
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activities in the Abisko region. This work includes planning and implementing environmental data collection in aquatic and terrestrial environments and laboratory work. The work is physically demanding and
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semesters (6 years), with programme starts each autumn and spring semester. More information about the programme can be found on the faculty web site - Doctoral studies at the Faculty of Medicine . About the
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spectrometry imaging (MSI) of brain tissue. The missingness can happen along two dimensions: spatial (super resolution) and feature (data imputation). Enhancing the quality of MSI advances our understanding