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) Documented record of advanced quantitative methods skills in R and Python, specifically Experience with GIS and spatial data analysis Experience with natural language processing or text-as-data approaches
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R and Python, specifically Experience with GIS and spatial data analysis Experience with natural language processing or text-as-data approaches Familiarity with large-scale survey data, conflict and
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equivalent in ecology or a related field Familiarity with concepts in species distribution, macroecology, climate change ecology, or biogeography Experience with statistical analysis and ecological data
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technology, bioinformatics and data analysis, food science and nutrition. The Faculty has a state-of-the-art infrastructure for research and education: A biorefinery lab, proteomics platform, fermentation lab
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the project, you will: Actively participate in group meetings, design statistical analysis plans in collaboration with other researchers, perform data analyses, write scientific articles, supervise
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practical organization of study activities Data analysis using advanced statistical and epidemiological methods Writing and publishing scientific articles in peer-reviewed journals Presenting findings
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systems (RAS). You will be part of the Analysis and Control of Microbial Systems group (ACMS ), that is now integrated into the Microbial Biotechnology research group. We are passionate about conducting
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expertise, this may involve: Neurological data collection Neuropsychological assessment of young children (<3 years) Coordination and practical organization of study activities Data analysis using advanced
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epidemiology, causal inference, genetic epidemiology, and machine learning. As a PhD candidate in the project, you will: Actively participate in group meetings, design statistical analysis plans in collaboration
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the Analysis and Control of Microbial Systems group (ACMS ), that is now integrated into the Microbial Biotechnology research group. We are passionate about conducting fundamental research to deepen our