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methods. Experience working with rodents as a model organism. Experience in learning and implementing experimental techniques that are new to a research group. Experience using engineering skills related
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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
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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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of electrocatalysts with 3D active site structures for a variety of reactions, such as oxygen reduction, oxygen evolution, and CO2 reduction. We welcome candidates with a passion for unravelling the fundamental
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to map chromatin dynamics and its consequences. Job Description: Chromatin is not immobile. It is a highly dynamic material whose 3D structure controls essential genomic functions from transcription to DNA
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. Your primary tasks will be: to print 316L and 17-4 PH stainless steel samples with optimized parameters to optimize the aging treatment of AM 17-4 PH stainless steel to perform non-destructive 3D and 4D
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, extension is sought) Contract:TV-L Your tasks Molecular laboratory work with 2D and 3D cell culture models Experimental design, data analysis and interpretation Publishing research findings in peer-reviewed
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. This individual will conduct interdisciplinary and highly collaborative research in in vitro 3D modeling to understand how the early placenta develops. The researcher will work primarily in tissue culture to model
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team in the field of cell and developmental biology. Our team uses the developing wing of the Drosophila melanogaster as a model system to investigate how tissue morphogenesis and intercellular
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students and staff is important. Prior experience in the following is considered a plus: 3D organoid cultures, any experience with in vivo mouse models, knowledge about analysis of omics datasets and