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-seq, ATAC-seq, ChIP-seq, spatial transcriptomics and single-cell data. Familiarity with data integration frameworks, predictive modeling, and network analysis. Experience with cloud computing
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large spatial and temporal scales. Experience in the conceptualisation and development of new methodological approaches for analysing and modelling species range dynamics, functional trait variation
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Espen Eidum 8th October 2026 Languages English English English Faculty of Engineering Sciences and Technology PhD Fellow in Distributed Acoustic Sensing for Arctic Railway Infrastructure Monitoring
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A: $87,266 - $118,416 AUD p.a. plus 17% super Join our interdisciplinary team and shape the future of endometrial biology and diagnostics through advanced spatial genomics. International collaboration
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targets. The research program uses murine models of SjD, multiomics technologies, and a prospective SjD patient registry and biorepository to study novel pathogenic immune pathways, including the IL-12/IFNγ
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genomics and spatial transcriptomics); advanced live-cell or super-resolution imaging; computational modeling of developmental trajectories; and the engineering of advanced in vitro models (such as stem
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analysing sequencing data, including single-cell RNA-seq and preferably spatial transcriptomics workflows. Use R and/or Python for high-dimensional statistical modelling with tools such as Seurat, Scanpy
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Spatially fractionated Treatment Optimization) we are offering a PhD student position (all genders) – (part time 65%) Posting-ID 26.125 – 1530 While conventional therapeutic beam applications typically aim
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of marine carbon, nutrient cycling and microbial processes in Earth System Models while increasing spatial model resolution to capture key physical and biogeochemical dynamics in the ocean. To support this
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of participatory models based on the integration of qualitative and quantitative spatially-referenced data for the co-design and evaluation of nature-based solutions.” Where to apply Website https