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area of Gaussian Process based Simultaneous Localisation and Mapping (SLAM) and recent advances in non-parametric, 3D environment modelling. We will assess the utility of these tools for map-building
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of London, University College London, University of Cambridge, University of Glasgow, Heriot-Watt University, and Imperial College London and aims to deliver transformative advancements in 3D nanoscale
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research and to drive in vitro drug target and mechanistic discovery efforts using 3D triple culture system based on iPSCs. The cell lines will be derived from participants of the Flemish Cognitive Compass
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mechanics and propulsion, for which the AEROSQIN project constitutes a perfect framework. The candidate will advance techniques for large-scale 3D particle tracking by merging measurement theory and practice
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strands. • Bespoke modelling of tumour metabolic function using 3D and 4D imaging data • Cancer patient risk prediction using machine learning (with experience in particular in radiomics and transcriptomics
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cells in structured 2D and 3D environments. Instead of treating artificial/synthetic cells as isolated mimics of life, ProtoEco will develop biohybrid micro-communities that exchange metabolites, energy
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with simulated data and 2D and 3D imaging data of plant tissues (the thale cress Arabidopsis and the aquatic fern Ceratopteris). At a later stage, the models can be extended to three dimensions using
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. Erin Saupe) and the University of Leeds (Project Co-Lead Prof. Ben Mills). The post holder will specifically work to generate a series of reconstructive models of 3D ocean biogeochemistry through
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research and to drive in vitro drug target and mechanistic discovery efforts using 3D triple culture system based on iPSCs. The cell lines will be derived from participants of the Flemish Cognitive Compass
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the field of mechanical engineering with focus on the following topics: computer aided design modeling, engineering design methodology, the creative design process, prototyping using custom 3D printed parts