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regenerative capacity of liver tissue. Your work will involve the use of research animals to investigate cell-cell interactions during regenerative processes and to developed new in vitro organoid models. You
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circulating tumor DNA, with comprehensive tissue-based profiling methods such as gene expression analysis, DNA sequencing, single-cell sequencing, and spatial transcriptomics. These high-dimensional data
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lower level of technological maturity. Conventional cell concepts rely on ceramic support structures, which provide numerous advantages but also present drawbacks, particularly regarding their thermo
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conditions, by bridging disciplines, from artificial intelligence, microelectronics, neuroengineering and nanoscience, to single-cell, imaging and molecular analysis, functional genomics and cell biology in
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across development and aging. Using cutting-edge multi-omic and single-cell datasets generated by our team and international collaborators, this bioinformatics project will investigate how the X and Y
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condition, but its clinical management relies heavily on HbA1c – a biomarker affected by distinct pathways: glucose metabolism (glycaemic) and independent red blood cell biology (non-glycaemic). This means
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/or scNMT-seq workflow for multimodal profiling of melanoma models and tissue samples. The project will translate the protocol developed by DC3 into 3D melanoma organoid and immune cell co-cultures
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a potential drug target in a subgroup of people with MLC by researchers in Pediatric Neurology at Amsterdam UMC. GPCRs are cell-surface proteins that respond to external stimuli and are widely
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cell-based disease modelling, neuroscience and translational research. Through planned secondments, you will also gain experience with MLC animal models and computational chemistry approaches
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potential in vivo. The project requires a strong foundation in neuroscience and an interest in both stem cell-based and animal research. Prior experience with cell culture techniques, behavioural and