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world with increasing digitalization and medical needs. Our research integrates materials chemistry, biological processes, physical analysis, process engineering and data science. We collaborate with
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of image processing e.g. using machine learning German skills For further questions, contact Dr. lmke Greving (imke.greving@hereon.de). We offer you an exciting and varied job in a research centre with
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well as an active engagement in the 3RTG activities. Requirements: successfully completed university degree (Master's, Diploma or equivalent) and relevant PhD in Computer Science, Computer Engineering, or related
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), proteomics (LC-MS/MS), (epi)genomic data processing, multi-omics integration, machine learning approaches for high-dimensional data, confocal / two-photon imaging, tissue clearing and light-sheet microscopy
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-based imaging system at HZI, perform experiments in prototype systems, and provide critical feedback to collaborating engineers to optimise the system. The ultimate aim of the system is to provide
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access to the technology Hubs by the SyNergy Cluster of Excellence. These include advanced platforms for single-cell and spatial transcriptomics, high-resolution imaging, multiomics, and neuropathology
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data processing, image/signal analysis, and machine learning. ✅ Familiarity with instrument control, calibration, and automation workflows. ✅ Excellent written and oral communication skills in English
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
that packages defined RNA cargos and delivers them to specific cell types. STVs consist of a synthetic protein that is assembled from natural and AI-designed protein domains, along with an engineered fusogenic
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Hospital. The position focuses on advanced medical image analysis in musculoskeletal medicine, with opportunities to take on scientific leadership responsibilities. The AIO group is part of the Department
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programming for workflow automation and data handling Familiarity with high-content imaging and quantitative analysis is a plus Interest in interdisciplinary approaches at the interface of biology, technology