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: Genomic technology development – with a focus on functional genomic screening Cancer genetics/biology, including CRISPR-based disease modelling in cells and organisms Cellular signalling and cancer therapy
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of motion analysis in collaboration processing of images in preparation for image-based modelling Your profile PhD in physics, materials science, computer science, applied mathematics or a related field
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for image-based modelling Your profile PhD in physics, materials science, computer science, applied mathematics or a related field strong background in image processing and analysis, including deep learning
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, macroecology, evolutionary ecology, and process-based modeling. We value interdisciplinarity, discovery-driven research, and a critical approach to modeling assumptions. More information about the group's
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Postdoctoral position in Bioinformatics/Computational Biology (m/f/d) (full-time position 100 % ~ 38
disorders • Pathway modeling and network-based approaches • Systems immunology integration of molecular and clinical data • Collaborative projects involving patient-derived samples and model organisms What we
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' to develop neural networks with remarkable information content: flies, which we use as a model, have brains that compute flying in 3D, navigation, metabolism and advanced learning and memory capabilities - all
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transcriptomic and image datasets Develop predictive models for diagnostic purposes Design research ideas and prepare scientific publications Participation in national and international conferences and
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-on experience with primary immune cell culture and flow cytometry-based phenotyping Experience with mouse models, including handling, injections, harvesting tissues, and processing tumor / immune samples FELASA
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, spatial transcriptomics and multiplex immunohistochemistry – ideally with you on board! RESPONSIBILITIES: Working with single cell based technologies and in vitro models Independent planning, execution
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cutting-edge technologies — from single-cell multi-omics and deep learning to live-cell imaging and stem-cell–based organoid systems — to predict, observe, and manipulate epigenetic processes. Our lab and