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Field
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preparation of scientific publications related to the project. The postdoc will work in close collaboration with a network of bioinformaticians specializing in the design and development of data analysis
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traffic analysis equipment level, a byte stream consistent with the behavior of the monitored machine—we are recruiting a post-doctoral researcher within our Network Systems, Cybersecurity, and Law (SRCD
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for transatlantic collaboration and travel through our partnership with Forest Neurotech (now Merge Labs) in the USA. You will lead the design, execution, and analysis of a multimodal neuroimaging and ultrasound
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frameworks linking molecular interactions to cellular and network-level behavior (e.g. protein-protein interaction, PPI, network analysis) Optimize simulation codes and workflows for leadership-class HPC
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implement independent research projects. Strong skills in data analysis, visualization, and scientific writing are required. These skills are normally acquired through a Ph.D. in Physics, Network Science
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of biological systems. Familiarity with AI techniques, such as physics-informed neural networks (PINNs), is preferred but not essential. Experience with high-dimensional data analysis (e.g., transcriptomics
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the impacts of rapid and longer term spatial agricultural shifts, due to international trade networks, on biodiversity, considering losses and gains and how this can be used to allow more direct comparison of
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(required) Quantitative skills in time‑series analysis, biogeochemical data processing, and uncertainty assessment (R, Matlab, Python, or similar) (Required) Field experience (desired) Excellent English
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that connect economic systems, energy transitions, climate impacts, and air pollution to support policy-relevant analysis. The group integrates insights from climate science, atmospheric/aerosol research, and
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to automated content analysis, particularly to optical character recognition (OCR) tools, which are not trained to such variation. Archives are also challenged by storage, format, metadata, and