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mental health and computational social science, using large-scale social media analysis, smartphone-based sensing, and agent-based modeling. Combining macro-level patterns with micro-level behavioral data
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computing in large-scale omics data analysis. Your work will focus on method development and their application to biomedical research questions. Key responsibilities include: analyzing and modeling large
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scanning probe microscopes perform data analysis and interpretation. work with others to maintain a high level of scientific productivity. present research and publish scientific results in peer-reviewed
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growth as a researcher Opportunity to develop state-of-the-art data analysis solutions that can have real impact on the fields of data analytics in general and space research in particular The prospects
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the samples and of the measurement setups, cleanroom fabrication, performing cryogenic microwave measurements, and data analysis. You are expected to participate in advising and mentoring PhD students. Your
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of a single-dish data analysis pipeline for full Stokes observations and conducting calibration observations with the new receiver. Additionally, you will get to participate in a new VLBI program where
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the entire population. The project utilises advanced statistical methods such as multilevel models (mixed models), fixed-effects models, cluster analysis, and sequence analysis. The selected researcher is
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visualization workflows (generative models, real-time dashboards). Data analysis and geospatial tools (QGIS, ArcGIS, remote sensing). Visualization and communication tools (Adobe Creative Suite, Blender
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experience in mathematically rigorous statistical field theory, for example, topics involving constructive quantum field theory, renormalization group theory, conformal field theory, or analysis of near
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with the land surface model to conduct regional simulations; Flux and concentration footprint modelling; Post-processing of eddy covariance data, gap filling and data analysis; Plan, coordinate and