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, including specialized laboratories for antibody development, flow cytometry, spatial omics, and mass spectrometry, as well as NBIS (National Bioinformatics Infrastructure Sweden). The Department is also
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associate will lead projects investigating how spatial organization, cell-cell interactions, and the physical microenvironment regulate tumor cell states, invasion, and therapeutic responses. The project
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. Demonstrated experience in analysing mobility, exposure, environmental or other spatially and temporally referenced data. Strong quantitative and statistical analytical skills. A strong publication record
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/Python (spatial data processing, zonal statistics, raster/vector integration). ○ Experience or interest in conducting qualitative or mixed-methods stakeholder research (e.g., focus group facilitation
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. Statistical Analysis Collaborates with the P.I. to determine data analysis methods, schedules, and procedures in accordance with established research protocols. Conducts statistical analysis on large datasets
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association studies (GWAS) and statistical genetics Whole-genome or whole-exome sequencing analyses Single-cell and spatial transcriptomics Multi-omics data integration Population genetics and genetic
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biology, simulation, data visualisation, bulk / single-cell / spatial RNA-sequencing analysis. Skills Terms programming; R; Python; Statistical methods; machine learning; differential expression; bulk
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quantitative social scientist, statistician, human geographer, or urban planner, and involves spatial, statistical, and/or economic analyses of place-based community initiatives to inform practice, planning, and
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imaging or electrophysiology, and/or proficiency in MATLAB/Python/R, and/or experience with mouse genetic models, electrophysiology, single cell RNAseq and spatial transcriptomics, behavioral assays
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partners to better understand the domain, help address scientific hypotheses and support the programme objectives. About You You will hold a PhD/DPhil with a significant computational and/or statistical