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applications of advanced spatial data analysis methods, data collection, and interpretation of remote sensing data, database system theory, mapping, spatial data distribution, development of new cartographic
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learning and machine learning for biological data Sequence and structure analysis of large-scale datasets Functional annotation and evolutionary analysis Collaborative research with experimental virology
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interviews with farmers. - To adapt and validate a psychosocial questionnaire. - To collect quantitative data by repeated cross-sectional studies with farmers. To carry in-depth analysis of qualitative and
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-scale data analysis with detailed contextual (often qualitative) data. You may have a disciplinary background in either social sciences (such as sociology, political science, communication sciences
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: Quantitative analysis of experimental data and description of spatial structures in crowds (e.g., Minkowski functionals, Voronoi analyses, clustering methods) Comparison of physical structural analyses with
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of provenance tracking within the workflow to enable reproducible data analysis, export to mzTab-M format Integration with EMBL-EBI BioStudies and other relevant repositories, such as MetaboLights (metabolomics
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sorting and data analysis Generation of single cell libraries with 10X Genomics, Singleron and BD Rhapsody platforms for ATAC, transcriptomics and multiomics assays Quality control of cells and nuclei (e.g
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literature analysis, focusing on disentanglement, AI, XAI, and human-centric data analysis. · Elaborate validation use-cases, designing and planning data collection studies under controlled conditions
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academic performance. Experience with stochastic methods, risk and reliability analysis, and data analysis. Programming experience in Python, MATLAB, C/C++, or a similar language. Strong analytical
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11 Dec 2025 Job Information Organisation/Company Nicolaus Copernicus University Department Centre for Modern Interdisciplinary Technologies Research Field History » Other Researcher Profile First