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Field
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alternatives to conventional cell therapies, particularly because of their delivery capabilities and immunomodulatory and regenerative properties. The present project aims to develop an innovative EV-based
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the project team, you will ensure the simulation of drone missions using state-of-the-art tools for AI learning and demonstration. You will be responsible for producing training data for vision models and
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fundamental mechanisms of secretion • Develop and implement advanced imaging and cell biology approaches • Analyse quantitative data and interpret results • Communicate findings within the team and at
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conditions such as cancer, yet the underlying mechanisms remain poorly understood. Understanding how disruptions in these processes contribute to cancer development and cell fate decisions is a central
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on a unique cohort of 1,750 human liver samples and 400 blood samples and integrates high-resolution genomic approaches (ultra-deep WES, ddPCR, single-cell RNA-seq, spatial transcriptomics). Main
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challenges in stem cell research, aging and disease modeling. The group employs methodologies from different areas of mathematics, engineering, and physics, and integrates multiple sources of biological
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stem cell biology, stress granule biology, multi-omics, and therapeutic target validation. Key responsibilities: Generation, maintenance, and differentiation of human iPSCs into midbrain organoids
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collaboration partners. Key Skills, Experience and Qualifications Ph.D. in immuno-oncology, immunology or oncology. Hands-on experience in biochemistry, molecular biology, cell culture, flow cytometry and
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, physicists and clinicians. - Perform qPCR, western blot and a broad range of cell biology experiments oncell lines and mouse tumors samples Relates activities: - Contribute to other team projects by analyzing
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neuronal types shapes sensory coding and circuit computation, with a strong emphasis on neocortical cell diversity and synaptic properties. We integrate detailed biophysical work with in vivo circuit-level