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PhD student with a medical degree (M.D.) and experience in analysing cardiac MRI images. The ideal candidate should have prior research experience in cardiac MR and familiarity with the various
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include large-scale and multi-modal medical data curation (imaging and non-imaging, clinical data entries), understanding and development of deep learning model (both convolutional networks and vision
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RNA-sequencing; high resolution imaging using spinning disk confocal microscopy; fluorescence image processing; single-cell data analysis. What do we offer? A creative and inspiring environment full
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doctoral student project and the duties of the doctoral student This project is financed by a an ERC Advanced Grant to Björn Högberg with the aim to generate images of RNA distributions in tissue using
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project. The successful candidate will work with primary human tissue samples and analyze metabolic aspects of TR NK cells using high-dimensional flow cytometry-based, single cell resolution imaging. In
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and opportunities for personal and professional development and a platform for building a future career in research. Karolinska Institutet is one of the world's leading medical universities. Our vision
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using ImageJ for image analyses and Prism for statistics and data plotting. Previous participation in academic research in this area is a must, as is strong communication skills in English as well as a
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electrophysiological recordings or calcium imaging of neuronal activity. Optogenetics and tracing of neuronal networks are other central technologies. For more information see: https://ki.se/en/neuro/carlenlab
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of four years of full-time doctoral education is required. The Department of Medical Epidemiology and Biostatistics conducts research in epidemiology and biostatistics across a broad range of areas within
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medical universities. Our vision is to pursue the development of knowledge about life and to promote a better health for all. At Karolinska Institutet, we conduct successful medical research and hold the