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with bioinformatics tools and software for data analysis (e.g. Seurat, SquidPy, Bioconductor). Strong understanding of statistical methods and data visualization techniques. Familiarity with spatial
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-seq, RNA-seq, ATAC-seq and spatial transcriptome data. We are also interested in developing modern statistical approach for integration of multi-omics datasets and causal inference to understanding
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statistics, texture descriptors (GLCM, GLRLM, GLSZM), wavelet-based features, and shape parameters. Particular emphasis will be placed on quantitative assessment of intratumoral heterogeneity through spatial
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Mathematics and Mathematical Statistics is opening a PhD position in spatial statistics
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to: The analysis will include statistical modeling (e.g., STEHME) to bridge spatial and temporal data gaps and interpolate beyond field-accessible regions. Using the resulting statistical product, the candidate will
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; developing, interpreting, and applying the two statistical models; and submitting peer-reviewed publications and presenting findings at scientific conferences and stakeholder workshops. Unit URL https
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with methods for preparing biological material for scRNA-seq, spatial transcriptomics, and mass spectrometry-based proteomics; familiarity with ex vivo models used in cancer biology research, including
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need a curious and driven PhD candidate to help us analyze these samples using spatial multi-omics. This is a joint project between Prof. Albena Jordanova (VIB-UAntwerp, Belgium) and Assist. Prof. Csilla
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: Archeometallurgical analyses SEM-EDS microscopy and chemical composition analysis of iron artifacts, slags, and ores GIS spatial analysis, statistical analysis, and network analysis of iron production Other
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are united in our efforts to understand, explain and improve our world and the human condition. The Department of Statistics employs about 15 researchers, teachers, doctoral students, and other staff. We