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samples; Support the definition and the development of ground-based capabilities for the receiving, handling, curation and analysis of samples; Support the development of novel curation technologies and
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, analysis and technical assessment of flight vehicles, including suborbital, entry/re-entry, space transportation and exploration vehicles. You are encouraged to visit the ESA website: https://www.esa.int
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the fundamental understanding of pesticide residues in soils through experimentation, modelling, and big data analysis. You will: Combine existing farm management, soil property and soil pesticide residue data
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, and other events with academic and civil society partners Supervision and teaching Support the supervision of PhD researchers and contribute to comparative analysis of qualitative data Possibility
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data analysis using R; experience with spatial data; excellent communication and teamwork skills; strong organisational and time management abilities; willingness to support the field team when necessary
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candidate would become an ARIA R&D creator. Responsibilities: Conduct foundational research on aggregation mechanisms, including: for-mal modeling and axiomatic analysis, computational complexity and algo
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change mitigation and adaptation measures in wetlands. Your work will consist of literature studies, analysis of in-situ greenhouse gas exchange data, as well as spatially distributed (satellite) data
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. You have experience with greenhouse gas analysis and related data analysis. You have extensive experience with limnological fieldwork. You have several relevant peer-reviewed publications. You have a
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for in-situ monitoring of (micro)meteorological or hydrological variables; experience with the application and development of environmental modeling and data analysis tools; programming skills (e.g. Python
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candidate would become an ARIA R&D creator. Responsibilities: Conduct foundational research on aggregation mechanisms, including: for-mal modeling and axiomatic analysis, computational complexity and algo