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. candidate will use mammalian cells, organoids, and animal models, and employ a range of approaches, including cell culture systems, diverse molecular techniques, and advanced imaging. The project will involve
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the candidate will apply both wet lab molecular biology, genome editing, trait phenotyping, imaging/microscopy, and computational methods to meet this aim. The project aims to advance the mechanistic
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of images of galaxies with photometric redshifts that can be used to extract the gravitational lensing effect caused by the distribution of dark matter in our Universe. The successful candidate will be
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-management of medications after hospital discharge. Using the innovation method “design thinking” we have developed a prototype for the new intervention, which we have further improved through testing with a
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PhD Research Fellow in Theoretical and Computational Active Matter Physics for Glioblastoma Invasion
to describe transitions between collective and singlecell invasion in confined and mechanically heterogeneous environments Calibrating and validating models using experimental data from imaging, biosensors, and
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examples to guide and prototype the development Qualifications and personal qualities Applicants must hold a master's degree or equivalent education in applied and computational mathematics, scientific
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and make particle beams more accessible for uses such as medical imaging. However, reaching very high particle energies in plasma accelerators is challenging. We are offering a postdoctoral position to
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value. The project involves cancer cell culture, various molecular and cell biology techniques, chromatin analysis methods, and microscopy imaging. We use a broad range of molecular, cell biology and
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mammalian cells, organoids, and animal models, and employ a range of approaches, including cell culture systems, diverse molecular techniques, and advanced imaging. The project will involve both internal and
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PhD Research Fellow in Theoretical and Computational Active Matter Physics for Glioblastoma Invasion
and mechanically heterogeneous environments Calibrating and validating models using experimental data from imaging, biosensors, and microchannel assays, in close collaboration with experimental partners