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partner, POST Luxembourg , one of the country's largest employers and a leading provider of postal, telecom, ICT, and financial services. The successful candidate will join the Computer Vision, Imaging, and
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process, modification of the microenvironment components, and integration with state-of-the-art research technologies such as high- and super-resolution microscopy, quantitative image analysis, spatial
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standard laboratory and office equipment. * Demonstrated computer skills and proficiency with MS Office Suite and data analysis and presentation software (Prizm, Adobe Photoshop and Illustrator, Image J, etc
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Germany | 5 days ago
measurements. Implement physics-informed machine learning models to predict mechanical properties from cell morphology. Collaborate closely with experimental teams to integrate transcriptomic and imaging data
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prevention Cell biology and tumor biology Developmental Biology Epidemiology Genomics Medical Technology Metabolomics Molecular imaging and radio oncology Redox biology Tumor immunology and immunotherapy
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-funded DECIPHER-M consortium (9 partners, €9M), we are building multimodal foundation models that integrate imaging, text, and structured clinical data to predict metastasis risk and identify tumor origin
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://www.academictransfer.com/en/jobs/359398/phd-position-in-high-performanc… Requirements Additional Information Website for additional job details https://www.academictransfer.com/359398/ Work Location(s) Number of offers
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compatible with high-speed imaging over long durations, (2) optimize system control and develop signal processing tools, and (3) apply it to imaging challenges involving organoids and living biological tissues
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troubleshoot each specific procedure as required • Assist and train other members of the laboratory, including undergraduate and graduate students, in proper experimental technique and in following protocols 15
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Autonomous Scalable Knowledge Extraction and Decision Making for Complex Systems and Dynamic Environments School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof