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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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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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, educating young leaders through a rich liberal arts curriculum and creating new knowledge through world-class research and scholarship. Learn more about LSA at: http://www.lsa.umich.edu/. Job Summary The
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an effective immune response against any target. We study pre-clinical mouse models as well as human patient samples to translate findings from bench to bedside and back again. The main aim is advancing
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, prototyping, or fabricating functional simulation models, trainers, or related physical prototypes. Hands-on aptitude with a range of fabrication techniques (e.g., 3D printing, molding/casting, basic machining
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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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. 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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for automated interpretation of crystallography data for optimal ligand placement. Build and curate training datasets linking electron density maps and structural models. Design and evaluate AI models for 3D
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3D motion capture, MATLAB, Microsoft Office, and finite element modeling, History of peer-reviewed publications and presentations Does this position have supervisory responsibilities? No Preferred
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effects, such as 2D/3D propagation and beam speckle patterns, which remain largely unexplored because they require significant simulation capabilities. This thesis aims to conduct a systematic kinetic