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, chromatin profiling, genomics, spatial transcriptomics and single-cell data. Apply statistical, machine learning, and network-based approaches to analyze high-dimensional biological data. Collaborate closely
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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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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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and organoid platforms, genome engineering technologies, advanced microscopy, spectral flow cytometry, single-cell and spatial genomics, proteomics and biomarker laboratories, and high-performance
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2029. This role is eligible for hybrid working with a minimum of 60% on site. If you need any reasonable adjustments to apply, contact About you You must have: A PhD (awarded or near completion) in
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such as deep and statistical learning. Experience of executing research projects at the level of senior PhD student, including creating and debugging machine learning algorithem. Excellent communication
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modelling and spatial ecology project focused on urban Singapore. Key Responsibilities: The Research Fellow will develop species distribution models, multi-species occupancy models, biodiversity indicators
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and ethical guidelines. About you Successful applicants will have: a PhD (or near completion) in computer science, statistics, engineering, or a physical, environmental or life science discipline
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combines stem cell biology, spatial genomics, AI/ML, single-cell technologies and computational biology to study how mutant cell populations interact with their surrounding tissue environment during
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spatial and temporal resolution. Build a system modeling framework to evaluate the deliverability of large-load projects, including interconnection, capacity, and infrastructure constraints. Design, build