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heterogeneity. Subsequently, the technology will be adapted and translated to the characterization of particles in environmental samples. The project combines flow cytometry, multidimensional data analysis, cell
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International Centre for Translational Eye Research / Institute of Physical Chemistry, Polish Academy of Sciences | Poland | 6 days ago
genetic engineering. Candidates should be familiar with single-cell and/or spatial RNA-sequencing and mice models to develop multi-omics method for profiling of intraocular tumours. The successful candidate
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research project. Good command of English. Previous experience with neuronal/cell cultures, fluorescence microscopy, image analysis, electrophysiology and/or mouse models will be positively valued but is not
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pioneered a new method to make fluidic devices using magnetic levitation, where any diamagnetic liquid is confined by a surrounding magnetic liquid. and organometallic chemistry, they will use cell cultures
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Fundacio de Recerca Clinic Barcelona-Institut d'Investigacions Biomediques August Pi i Sunyer | Spain | 6 days ago
research experience Mobility and/or internationalisation experience recommended but not mandatory Strong motivation for research Good command of English Candidates can select up two potential host research
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Department of Biology hosts internationally leading research activity in ecology, evolutionary biology, physiology, marine science and technology, and cell & molecular biology. As a PhD Candidate with us, you
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organoids and immune-competent gut–microbe co-culture models to examine how early microbial colonisation affects immune-cell development, gut epithelium and immunity, with particular attention to naïve T-cell
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-) immunoprecipitations from neuronal cell models and brain tissue followed by quantitative LC-MS/MS, and you will run that workflow from end to end – from sample preparation to data analysis and interpretation. Candidate
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novel methodology for the analysis of single-cell (multi)-omics data by incorporating existing biological knowledge into machine learning models. You will join a collaborative and internationally-oriented
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of biomedical imaging data; AI-based prediction of cell and exosome distribution in regenerative biomaterials. The candidate will receive interdisciplinary training in biomaterials research, advanced imaging