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enhanced MRI with computer simulations of image contrast and mass spectrometric imaging of tissue samples and single cells. This project is part of the Collaborative Research Centre 1450 “Insight
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to data protection: Your data protection rights, the purpose for which your data will be processed, as well as further information about data protection is available to you on the website: https://tu
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attending interviews cannot be reimbursed. Reference to data protection: Your data protection rights, the purpose for which your data will be processed, as well as further information about data protection is
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like to more widely explore the possibility of computer simulations to refine the targeted synthesis even more and predict the self-assembly even better. Who we are · The Research Training Group RTG2670
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data in collaboration with project partners. What we expect: The candidate has a strong interest in radiobiology and radiation physics enjoys doing research in an interdisciplinary field between biology
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As part of the German government's artificial intelligence (AI) strategy, the successful Saxon competence center ScaDS.AI Dresden/Leipzig (Center for Scalable Data Analytics and Artificial
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transcriptomics and single-cell RNA sequencing on patient samples • Mining and analyzing public cancer databases (TCGA, GEO, etc.) and omics data • Inferring TLS formation and maturation stages from
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analysis and analytical data analysis workflows, together with other team members Implementing AI-based microscopy image analysis software as python packages Developing algorithms to deploy machine learning
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effector functions. Such understanding is essential for the development of new therapies against cancer and infectious diseases. Further information on our work can be found on our homepage and in our
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data analysis and quantitative evaluation of imaging or histological data Fluent in English and strong communication skills in an international team environment Benefits Opportunity to integrate into a