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- Institute for bioengineering of Catalonia, IBEC
- Fundación Investigación del Cáncer Universidad de Salamanca
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responsibilities: In READY-GUT we develop ready-to-use 3D hydrogel scaffolds for cell culture of intestinal models. The candidate will participate in the product validation and the route-to-market strategy
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these processes. The successful candidate will work with animal models and clinical samples and will apply a range of cutting-edge techniques, including flow cytometry, 3D microscopy and transcriptomic analyses
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of resistance to targeting therapies (antibodies, and antibody-drug conjugates) integrating clinical data, 3D cancer cell models, high-throughput approaches and co-culture systems. The successful candidate will
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protein on B cell acute lymphoblastic leukemia. We will specifically investigate its biomolecular properties and its role on gene expression, epigenetic and 3D genome organization. • Design and construct
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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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integration, actuator integration, enclosures, structural supports and precision mechanisms. Create and maintain 3D CAD models, assemblies, 2D manufacturing drawings, bills of materials and technical
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: Communication, teamwork and collaboration, commitment, proactivity, integrity, and critical/analytical thinking. High level of English. Advantageous: Experience in nanomedicine, active matter, biomaterials, or 3D
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disorders. Its research combines primary human and mouse muscle stem cells, CRISPR-based genome editing, non-viral delivery of nucleic acid therapeutics, human and mouse disease models, and single-cell
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for automation, sensing, guidance, and robotic implementation. o Mechanical design and simulation: 3D modeling of panels, tooling, and structures, combined with multiphysics simulation and Physics-Informed Neural
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project investigating the role of endomembranes in cancer and therapy resistance. The project combines advanced cell biology, molecular biology and imaging approaches using clinically relevant cancer models