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Hospital, an inclusive centre of excellence working to advance lung health. The postholder will also be required to work closely with KCL team members in the Parsons Group, for expertise in 3D culture models
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Postdoctoral position: Developing a human lymphoid organ-on-chip to evaluate candidate mRNA vaccines
A post-doctoral position is available to develop a 3D model of a human lymph node and apply this model to preclinical vaccine evaluation. The successful applicant will join the team of Lisa
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characterization techniques with mechanical behavior and finite element methods. The postdoctoral candidate will develop the processes needed to connect mechanical testing data with 3D microstructure of nuclear
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(Including histone modification and DNA methylation) and 3D genome organization studies on the interplay between EBV infection and host interactions. Using in vitro B cell transformation model and 3D organoid
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background in studying protein-protein interaction and signal transduction and an interest in working in cancer immunology. Expertise in high-throughput screening, 3D imaging, or in vivo models of cancer is
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ability to work independently Preferred Qualifications Experience with translational profiling, splicing analysis, or RNA editing Background in pluripotency, 3D embryo models, hematopoietic or cancer model
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-Titan instruments, a dual beam FIB, an environmental SEM,... EMAT is also a pioneer in in situ 3D ED studies, as will be important in this project. More about us at our webpage . Position This postdoc
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assess their responses by cellular and molecular biology techniques;Establish and characterise human iPSC-derived cell models, including 3D cultures and organoids for musculoskeletal disease research
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Activities: Research Topic: Bioengineered Human Tissue Model for Juvenile Dermatomyositis Job Description: Our lab is focused on using bioengineered human muscle systems (myobundles) to research rare pediatric
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This multidisciplinary position is part of a WASP NEST (Novelty, Excellence, Synergy, Teams) project focused on advancing generative models and perceptual understanding in computer vision. The