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models in collaboration with our international collaborators. You would also develop advanced image analysis schemes to analyse the experimental data. Your focus would be to investigate the effect
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setting. Conduct process simulations using tools such as Aspen Plus, COMSOL, or equivalent software to predict system performance. Collaborate with engineering companies to develop a prototype carbon
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programming skills, in depth knowledge of MR theory, and experience with the acquisition and analysis of (preclinical) MRI data, as well as with mathematical modelling and image processing methods. Experience
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electrophysiology and sleep) and (ii) in spatial transcriptomics and high-resolution imaging. The selected candidate will work at the intersection of molecular biology and systems neuroscience, gaining a unique
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Biology, Deep Learning, Histology, Immunochemistry, In Vivo Imaging, Micro-Computed Tomography (Micro-CT), Mouse Handling Questions For frequently asked questions about the application process, please refer
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to improve our understanding of fundamental processes relevant to combustion engines, gas turbines, and fire safety. The successful candidate will join a dynamic and diverse research group with an extensive
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consist of: Developing and implementing bioinformatics workflows for snRNA-seq data processing, quality control, clustering, and cell-type annotation. Processing and analyzing spatial transcriptomics
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will focus on the prediction of genetic interaction networks and image analysis for automated phenotyping. We welcome interest in developing both ongoing and novel research projects in the lab, and are
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also include technique development work aimed at combining imaging techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a
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carcinoma xenografts in immunocompromised mice. They will treat mice with appropriate chemotherapy regimens and image them using different imaging platforms. Primary human organoids will be established and