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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 2 months ago
research by proteomic/RNAseq analysis of secretomes; Experience in cell culture, including advanced 3D models; Experience in cell and molecular biology techniques; Organisational skills and synthesis skills
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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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Dipartimento di Ingegneria dell'Informazione - Università degli studi di Padova | Italy | 2 months ago
efficiency of 3D reconstruction. Specifically, the project aims to: i) actively and efficiently reconstruct multiple dynamic targets even in unknown scenarios; ii) address the case of articulated objects
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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
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both 2D and 3D models, for experimental studies. The ideal candidate will demonstrate a strong record of accomplishment in a relevant area of biomedical research, evidenced by first-author peer-reviewed
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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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, 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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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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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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. 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