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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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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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format: Motivated letter of application (max. one page). CV incl. education, experience, language skills, publication list and other skills relevant for the position. PhD and Master diplomas and transcript
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imaging pipelines, and use deep learning to gain insight into biological processes. You will also gain direct exposure to cardiovascular physiology and rodent imaging in close collaboration with biologists
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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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, imaging techniques, and bioinformatic analysis. Successful applicants will need to work both independently and collaboratively, to exhibit excellent skills in scientific communication, and dedicated
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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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, and use deep learning to gain insight into biological processes. You will also gain direct exposure to cardiovascular physiology and rodent imaging in close collaboration with biologists. We work
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Centre in the Denmark Hill Campus. The applicant should have a PhD in Biomedical Engineering, Medical Physics, Medical Imaging, or a related area (or pending results). They should have good analytical and
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in English in one PDF file. The file must include: Application (cover letter) Full CV Academic Diplomas (MSc & PhD – in English) List of publications incl. link to Google Scholar profile Link to Github