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focus on large-scale biobank imaging and histopathology in a range of diseases (example publications: 1 , 2 & 3 ). The lab welcomes applicants with interests in any of the following areas: Supervised
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models in collaboration with our international collaborators. You would also develop advanced image analysis schemes to analyse the experimental data. Your focus would be to investigate the effect
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motor behavior analysis. Technical experience with imaging, molecular biology, immunohistochemistry, in situ hybridization are also highly valued. Technical experience with embryo electroporation and /or
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immune system in health and disease. We are looking for a candidate with expertise in immunology. Your main tasks and responsibilities: Leverage advanced methodologies to integrate imaging with genomics
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facilities in imaging, immunology, tissue engineering, and bioinformatics. Qualifications We seek applicants with the following qualifications: Essential: PhD in molecular biology, immunology, biochemistry
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genomics, virtual cell models Graph-based neural networks, optimal transport Biomedical imaging, deep learning, virtual reality, AI-driven image analysis Agentic systems, large language models Generative AI
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Researcher / Postdoc for molecular investigations on microbial ecology in deep-sea polymetallic n...
nodule collector prototype Patania II in the Clarion Clipperton Fracture Zone (CCZ) in the subtropical Eastern Pacific in 2021. Undisturbed conditions including their spatiotemporal variability (‘baselines
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Postdoc position: mechanisms of autoimmunity & autoinflammation in inborn errors of immunity (m/f/d)
erythematosus (SLE). This project will integrate biochemical, immunological, and imaging techniques, along with co-culture of patient-derived organoids and model organisms combined with various –omics approaches
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, including the National Facilities for Genome Engineering and Disease Modelling, Genomics and Light Imaging. Key tasks and responsibilities: Apply ESC/iPSC differentiation protocols and perturbation screenings
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improved patient outcomes Integration of findings into translational research, collaborating closely with clinicians, imaging specialists, and bioinformaticians to optimize interventional oncology treatments