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Field
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available in the Division of Proteomics of Stem Cells and cancer, headed by Prof. Jeroen Krijgsveld. Our division develops innovative proteomic approaches to understand proteome regulation in cancer, both in
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development. It is one of the world's leading research institutions in its field and offers natural and social scientists from around the world an inspiring environment for excellent interdisciplinary research
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Your Job: Developing and implementing QC algorithms (QAA, QAOA, QSVM), quantum AI algorithms, use case adapted algorithms to test and benchmark latest technology focusing on gate-based QC Advancing
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The Leibniz Institute for the History and Culture of Eastern Europe (GWZO) conductscomparative research into historical and cultural developments and processes in the region between the Baltic Sea
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around 30 GHz. The successful candidate is expected to take over a leading role within the MADMAX collaboration in the development, characterization and implementation of important parts
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chemistry research groups, offering rich opportunities for collaboration and learning Extensive opportunities for personal development and training A large, green campus with sports facilities and a
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is to investigate which antigen specificities are enriched in cell subpopulations, depending on the underlying neurological disease. The project will use high-throughput data to develop and apply
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data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms to understand
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in written and spoken English Structured and independent working style Desirable: Experience or interest in bioinformatics Wir bieten Ihnen Goal-oriented, individual training and development
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that have already been verified or from people with an equivalent status will be particularly welcomed. Your application should contain a CV, a publication list and a research plan that fits the research