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to research including: development of next-generation calibration-transfer and domain adaptation methods for multi-platform LiDAR machine learning and statistical modelling of forest structural attributes (e.g
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dynamics, working at the interface of cell biology, biochemistry and biophysics to tackle cutting edge problems in their field. Example research areas include the spatial, temporal and biophysical
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along many kilometres of fibre with down to metre-scale spatial resolution – a technique coined Distributed Acoustic Sensing (DAS). The long-term ambition is to enable high-resolution, real-time warning
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to have a background and a strong interest in one or several of the following areas: glial biology, molecular neuroscience, single cell and spatial genomics, gene delivery, animal models of CNS injury
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transfer; spatial neighborhood/domain analysis; multi‑omic modeling for RNA+protein where applicable. Pipeline automation & reproducibility – 10% Implement/maintain Snakemake/Nextflow workflows with
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large datasets and a familiarity with current leading model systems and transcriptomic/proteomic assays that use current spatial and single cell technologies. Skills Essential: C1 Programming skills in
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framework and model to anticipate the environmental criticality of raw materials, with specific focus on their extraction. This PhD will provide a thorough assessment of the environmental pressures induced by
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population register data and apply advanced causal inference and longitudinal methods, including marginal structural models, inverse probability weighting, and other approaches that address time-varying
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to be educated and enlightened citizens who lead productive and meaningful lives. Vision To be the national model for the engaged university: engaged with ideas and the world. Who We Are Situated in
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addition to this unique and powerful animal model, we employ a broad range of approaches, including human pluripotent stem cells, brain organoids, genome editing, high-resolution imaging, single-cell sequencing, spatial