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. Experience working with geospatial data and spatial analysis, or the ability to learn. Experience analysing whole genome libraries, including quality control, sequence alignment, and calculating population
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UiO/Anders Lien 16th October 2026 Languages English English English PhD in spatial genome organization and gene regulation PhD fellowship Apply for this job See advertisement About the position A
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English PhD in spatial genome organization and gene regulation PhD fellowship Apply for this job See advertisement About the position A 100% 3-year PhD fellowship in chromatin and computational biology is
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on developing probabilistic latent-variable methods for large and structured biological data, with applications in genomics, spatial transcriptomics, and fluorescence imaging. High-dimensional and structured
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and structured biological data, with applications in genomics, spatial transcriptomics, and fluorescence imaging. High-dimensional and structured biological data are increasingly common in modern
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, yet spatial planning stakeholders insufficiently consider these insights. Few studies systematically combine methods and insights from these diverse approaches, and an evidence-based spatial and visual
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and needs-based design, yet spatial planning stakeholders insufficiently consider these insights. Few studies systematically combine methods and insights from these diverse approaches, and an evidence
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for recruitment positions for general criteria for the position. Preferred selection criteria Experience with spatial data analysis and integrating qualitative and quantitative datasets using platforms such as GIS
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. Design explanation methods that connect predictions to meaningful spatial, temporal, frequency-domain, semantic, or example-based evidence. Evaluate robustness and transfer to unseen datasets, content
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and ML libraries (e.g., NumPy, SciPy, PyTorch/TensorFlow, scikit-learn). Experience with spatial data analysis, interpolation techniques, or geostatistical concepts variography, kriging, conditional