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research group study the genetic and epigenetic changes that drive the development of hematological malignancies by employing cutting-edge multi-omics approaches. The successful candidate will join a dynamic
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. Experience in working with animal models, transcriptomics (long read, single cell), multi-parameter flow cytometry, molecular biology and fluorescence imaging will be preferred. We offer an interdisciplinary
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tissue samples, multi-parameter flow cytometry, molecular biology and fluorescence imaging will be preferred. We offer an interdisciplinary research environment that fosters innovation and collaboration
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Broadband UV-generation position Push the frontiers of nonlinear optics in multi-pass cells Optimize third harmonic generation in nonlinear gases Develop scaling concepts to kJ pulse energy levels General
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their operating principles and, therefore, their ability to be designed, manipulated, and produced. Mesoscale organization is integral in bridging scales between microscopic interactions and macroscopic material
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planning and control algorithms Multi-modal perception techniques (e.g., vision, tactile, force) Machine learning models for physical behavior prediction and manipulation strategy adaptation Real-world
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integrate large-scale sequence and RNA-seq data from internal and public resources. You build a reference library of predictive regulatory motifs. You use network analysis and random-forest approaches
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research studies for automated image analysis. In particular, you will: Plan, develop, and implement AI/ML algorithms for pathology image analysis. Integrate multi-modal data (e.g., genomics, clinical data
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of Livestock Systems is newly established at TUM and will include several postdocs, PhD students, and technical staff. The team will work on various topics, including multi-scale analyses of productivity
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18.10.2022, Wissenschaftliches Personal The lab for Artificial Intelligence in Medical Imaging (www.ai-med.de) is looking for a Post-Doc. The task will be the multi-modal modeling of medical data