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- Institute for bioengineering of Catalonia, IBEC
- ICN2
- Centre for Genomic Regulation
- Computer Vision Center
- Fundació Hospital Universitari Vall d'Hebron- Institut de recerca
- Fundació per a la Universitat Oberta de Catalunya
- Josep Carreras Leukaemia Research Institute (IJC)
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and sample tracking into reproducible end-to-end pipelines. Develop and apply computational pipelines for image processing, cell segmentation, debarcoding and spatial statistics. Close the experimental
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Resonance Imaging to Molecular Signatures: Generative AI for Virtual Biopsy in Gliomas - Gliogen X will be to develop a non-invasive virtual biopsy based on magnetic resonance imaging to molecularly classify
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analysis, discussion of results and proposal of new experiments and approaches. He will be asked to obtain and analyze optical and confocal microscopy images and to develop radiochemical and immunochemical
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analysis, computer vision, or machine learning, with a clear interest in developing image analysis algorithms and an affinity with medical topics. Good communication and organizational skills are essential
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, liposomes and other vesicular systems. Proven experience in the design, fabrication and operation of microfluidic devices for the controlled production of soft materials. Strong background in polymersome self
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resistance. We developed synthetic cells that fight bacteria using a biomimetic form of artificial phagocytosis, a process to date only observed in living organisms. These phagocytic synthetic cells (PSCs
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cell culture models. Experience with in vivo imaging. Competencies and Skills: We value not only technical expertise but also the demonstration of core competencies such as Communication, Teamwork and
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, or 3D cell culture models. Experience with in vivo imaging. Competencies and Skills: We value not only technical expertise but also the demonstration of core competencies such as Communication, Teamwork
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areas of nanoscience and nanotechnology. Job Title: Junior Postdoc-Electrocatalysis; in situ electron microscopy characterization; deep learning frameworks for TEM image analysis Department: Advanced
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cytometry, MACS and FACS, and confocal/immunofluorescence imaging of normal and leukemic hematopoietic cells and tissues. • Prepare samples and libraries for single-cell RNA-seq, spatial transcriptomics, and