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Field
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in human biology and evolution, our work seeks to uncover the molecular logic underlying human-specific neuronal differentiation and synaptic connectivity and to translate these insights
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. Preferred Qualifications: ● Experience with human pluripotent stem cell culture and differentiation into neurons and astrocytes. ● Expertise in mitochondrial function and metabolic assays
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responsibility is to test key assumptions about differential disease risk by integrating high-resolution socio-ecological, environmental, and novel health data from individual and population sources. This research
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cell handling, differentiation, and organoid formation, while inte-grating automated imaging, quality control, and data analysis. A strong component of the work will be the programming and customization
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investigate the mechanisms that regulate proliferation, differentiation, and regeneration in the kidney, with a focus on various disease processes (Diabetic Nephropathy, Focal Segmental Glomerulosclerosis
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that are differentially expressed in genome-sequenced marine model bacteria and natural marine bacterial assemblages. Analyses will involve state-of-the-art techniques in microbial ecology and molecular biology (e.g. gene
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investigate the mechanisms that regulate proliferation, differentiation, and regeneration in the kidney, with a focus on various disease processes (Diabetic Nephropathy, Focal Segmental Glomerulosclerosis
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differentiation, experience in microscopy and image analysis programs (high content experience ideal), familiarity / experience in bioinformatic analysis of large-scale data sets, familiarity / experience in Python
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-hungry. But many lines of research in these domains have been faced to date by designing particular simulation systems, mainly based on physical laws (e.g., differential equations). To this end, a
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background Prof. Dr. Nicola Zamboni’s team studies how metabolism functions and is regulated. The group focuses on systems in which metabolism or metabolites influence phenotypic differentiation and biomedical