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, innovative research program particularly in the field of systems immunology applying novel high-resolution technologies, and/or computational analysis methods and artificial intelligence/machine learning is
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Research Group Leader (f) focusing on research into polymeric and self-organized materials, to be investigated with modern experimental methods with regards to their structure and dynamics. As a junior
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to molecular mechanism. New experimental and computational methods, including data and deep-learning driven approaches to study complex biological processes in the context of cells, organisms, communities and
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bioinformatic and biostatistical methods for evaluating DNA sequencing data to describe microbial communities (16S amplicon sequencing) and to identify environmental factors affecting their composition
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strategies. We develop new methods with which tumors can be diagnosed more precisely and cancer patients can be treated more successfully. Every contribution counts – whether in research, administration
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molecular biology, train scientists and students at all levels, provide essential services to both public and private sectors, develop innovative technologies and methods, and foster active technology
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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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cells to generate advanced model systems for studying beta-cell maturation and failure. You will apply state-of-the-art molecular biology and tissue culture methods, along with next-generation sequencing
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strategies. We develop new methods with which tumors can be diagnosed more precisely and cancer patients can be treated more successfully. Every contribution counts – whether in research, administration
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essential for numerous projects in particle and astroparticle physics at KIT, particularly for the Karlsruhe Tritium Neutrino Experiment (KATRIN). The Tritium Laboratory is also indispensable for KIT's fusion