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, computer science, environmental engineering or in a relevant science subject area with an affinity for renewable energy integration, spatial analysis/GIS and programming; has proven experience in programming
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, and/or computation social science capabilities and expertise (dissertation chapter or publication); A research statement pitching your ideas on how you would approach the data collection and analysis
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bioinformatics and data analysis (i.e. R, Python, Perl) is a significant plus. Organisation Conditions of employment We offer you in accordance with the Collective Labour Agreement for Dutch Universities (https
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Location ESOC, Darmstadt, Germany Our team and mission You will be part of the Mission Analysis Section in the Flight Dynamics Division at the European Space Operations Centre (ESOC). This Division
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are already working on this project. You will work on the following research objectives: You develop a theoretical and critical analysis of humanitarian VR from a postcolonial perspective. You map the field and
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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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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