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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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scientists and, therefore, especially encourages them to apply. Further information: Please contact Prof. Dr. Gianni Panagiotou | https://www.leibniz-hki.de/de/mbd-mitarbeiter-innendetails.html?member=865
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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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opportunity employer, the Leibniz-HKI is committed to increasing the percentage of female scientists and, therefore, especially encourages them to apply. Further information: Please contact Prof. Dr. Gianni
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models. The scientist will conduct research using machine learning and classical parameterization methods on data from ocean gliders equipped with microstructure turbulence sensors, turbulence resolving
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genomic, gene expression and gene regulatory network data sets. We are looking for a highly motivated scientist to work in a dynamic and interdisciplinary academic team focusing on different aspects
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and medical image analysis. The interdisciplinary and collaborative research environment at the DKFZ also results in excellent opportunities for computational and data scientists with interest in
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Junior Research Group in the field of Metabolic Plasticity. What we are looking for in applicants: We are looking for established scientists in an early career phase (up to 6 years post-PhD) who
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team of scientists Desirable qualifications: experience in processing experimental data experience with SCC international research experience willingness to learn German We offer you an exciting and
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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