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Collaborative EPSRC Doctoral Landscape Award Qualification: Doctor of Philosophy in Engineering (PhD) Eligibility: UK Students Award value: Tuition fees and tax-free stipend - See advert for details
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the advantages of the ADS are linked to its subcriticality, this must be ensured under all conditions (normal, incident, or accident). The SPATIAL project aims to develop a reliable method for measuring reactivity
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collaboration activities. This includes the Chair of Spatial Information and Modelling, which is at the same time leading the IOER Research Area under the same title. Both TUD and IOER are globally oriented
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constituent une phase électronique caractérisée par une modulation spatiale de la densité électronique présente dans certains matériaux métalliques, souvent liée à l'apparition d'une bande interdite dans le
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 8 days ago
on the study of human tumors through the use of multiple genomic technologies. The methods used include gene expression profiling using bulk RNAseq and scRNAseq, DNAseq, and spatial transcriptomics. The main
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collaboration activities. This includes the Chair of Spatial Information and Modelling, which is at the same time leading the IOER Research Area under the same title. Both TUD and IOER are globally oriented
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PhD Studentship: Preclinical modelling and therapeutic targeting of glioblastoma infiltrative margin
PhD Studentship Advert Title: Preclinical modelling and therapeutic targeting of glioblastoma infiltrative margin Supervisors: Prof Ruman Rahman, Dr Stuart Smith, Dr Phoebe McCrorie Project Overview
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fibroblast identity and function within liver tumours and how these cells shape anti-tumour immune responses. The student will use in vivo cancer models, spatial tissue analysis and immunological profiling
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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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vulnerability Single-cell and spatial transcriptomic analysis of treated organoids and tumour Computational modelling of cell state rewiring network Functional validation of identified targets in various tumour