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. The objective of the research is to use an integrated approach combining numerical and analytical techniques, simulations and analysis of available experimental data to study and provide efficient
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geospatial data analysis techniques to large Earth Observation datasets. • Produce high-quality scientific publications in peer-reviewed journals and present research results at international conferences
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connectivity analysis and structural MRI data analysis. Strong background in neuroscience and psychology. Experience working with clinical datasets, neuropsychological assessments, and pathology-related
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training if desired, the primary focus of this opportunity is data analysis.
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to emerging or re-emerging diseases. Proficiency in programming languages such as Python, R, SQL, or similar tools for data analysis and model development. Experience in working with large and complex datasets
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performing computational analysis of cutting-edge sequencing datasets. S/he will be in charge of the analysis of single-nucleus RNA/ATAC-seq and spatial transcriptomics data from brain tumor patient samples
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advanced AI/ML methods for robust analysis and integration. Data sparsity, batch effects, and missing values across different omics layers and platforms. Cross-omics data fusion and representation learning
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Max Planck Institute for Political and Social Science, Göttingen | Gottingen, Niedersachsen | Germany | about 4 hours ago
input, fieldwork oversight, and analysis of large-scale cross-national survey data; Oversee key aspects of implementing an international teacher survey, including coordination with external survey firms
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geospatial modeling approaches to analyze urban environmental processes. • Apply machine learning and geospatial data analysis techniques to large Earth Observation datasets. • Produce high-quality
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technical reports, summaries, protocols, and qualitative analyses. Develops systems, processes, and procedures for timely data collection. Provides statistical analysis and data management support scientific