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Field
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analysis techniques to explore socio-economic impacts of an AMOC weakening. You will get the opportunity to connect to the IMAGE model, an integrated assessment model that couples our climate system to human
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, energy-related datasets. Proficiency in Python, MATLAB, and/or Julia for modeling, simulation, and data analysis. Familiarity with GIS tools (e.g. QGIS), time-series databases (e.g. InfluxDB), and version
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Immonuprecipitation (ChIP); Genome editing, e.g. to (degron) tag proteins of interest; Bioinformatic analysis of generated sequencing data. During your PhD, you will learn about the field of gene regulation, expand our
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work on satellite image analysis and field inventories of ecosystem responses to tundra fires in remote Arctic sites. You will work at the Plant Ecology and Nature Conservation group (PEN) and
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datasets, and geospatial analysis outputs of the project. Technical support from the RUG Geodienst is available. Contributing to the development of theoretical frameworks within the project, potentially
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, climate physics, geosciences or a related field; excellent skills in scientific programming and numerical / statistical analysis of simulated and observed data; a versatile mind and openness to work on a
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Your job Are you a highly motivated and enthusiastic individual with a strong background in process-based modeling, data analysis, and soil sciences? Do you want to participate in a large-scale
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infection biology [essential] molecular biology, assay development lipidomics/metabolomics/transcriptomics [desirable] Analytical thinking, data analysis, and critical problem-solving skills. Commitment
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analysis, or data science); a genuine enthusiasm for the ocean and marine sustainability challenges; a strong motivation to advance the field of environmental and natural resource economics; strong
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architectures, and on-device inference on edge-compute platforms. Demonstrated analytical problem-solving through experimental design, critical quantitative and qualitative data analysis, and validation