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University Medical Center Utrecht (UMC Utrecht); Published yesterday | Netherlands | about 6 hours ago
have proven experience in stem cell biology and advanced cell culture, ideally including work with human induced pluripotent stem cells (hiPSCs) and their differentiation into neuronal lineages
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The department of Medical BioSciences aims at a better understanding of our immune system using cell biological, immunological and molecular techniques and is centered around dendritic cells and
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practical solutions. Societal demands for wireless communication keep growing exponentially. The sixth generation (6G) of mobile networks strives to serve a ten fold increase in data traffic: AI applications
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offers a PhD position on the role of macromolecular crowding in ageing and neurodegenerative diseases, studied in the model organism C. elegans. Your job The living cell is highly crowded with
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, Biotechnology, Bioengineering, Biochemical Engineering, or related fields, with demonstrated experience in marine sponge cell culture; excellent writing and communication skills in English; prior hands
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microdissection to isolate defined tumour regions prior to mass spectrometry analysis. Where feasible, you will also explore single-cell proteomics approaches on patient samples to gain additional resolution
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identity, behavior, and trajectory. You will extend these models to understand how genetic risk factors alter cell–cell communication networks. Spatial transcriptomics datasets will be used to anchor
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. Experience with molecular biology and mammalian cell culture techniques. Excellent communication and organizational skills. Enthusiasm for both curiosity- and hypothesis-driven research. Preferred
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diseases, studied in the model organism C. elegans. Your job The living cell is highly crowded with macromolecules such as proteins and nucleic acids. Proteins are continuously at risk of aggregation, which
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identity, behavior, and trajectory. You will extend these models to understand how genetic risk factors alter cell–cell communication networks. Spatial transcriptomics datasets will be used to anchor