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are as follows: Estimate the onshore technical and economic potential for CCUS in rural areas in Germany, the Netherlands and Norway. Gather high resolution spatial explicit data on (potential) CO2 sinks
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the health impacts of environmental changes. Leading policy analysis to inform national and international health and environmental strategies. Collaborating with healthcare providers, policymakers, industry
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the most suitable data science techniques (e.g., machine learning, cluster analysis) to answer specific research questions based on available data. Running simulation studies and other pre-intervention
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, spacecraft system and mission design, and analysis, as well as a valuable data source for studies and other research domains. This research aims to develop a lightweight software system, written in Python and
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blot, PAGE, RT-qPCR, RNA immunoprecipitation, etc.) Prior experience working with RNA structure and NGS, as well as experience in bioinformatics and data analysis (i.e. R, Python, Perl) is a significant
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of the Agency. Potential areas include, but are not limited to: algorithmic engineering and high-performance computing; design and analysis of algorithms and data structures; discrete optimisation and operations