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, this opportunity is for you, giving you a chance to make a meaningful impact on the future of healthcare. What is RAMP-UP? RAMP-UP is an international doctoral training programme coordinated by Lund Stem Cell
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others, the successful candidate will perform experiments focusing on stem cell research in vitro and collaboratively execute a project(s) with other staff scientists. The successful candidate will also
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adipose tissue-derived secreted factors and extracellular vesicles influence cardiomyocyte metabolism and contractility, and on validating newly identified biomarkers using human stem cell-derived
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metabolism and contractility, and on validating newly identified biomarkers using human stem cell-derived cardiomyocytes. The project contributes to the development of innovative diagnostic and therapeutic
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). This exciting translational role sits at the intersection of innovative stem cell engineering and disease modelling, targeting genetic, metabolic, and immune-driven pathologies. You will utilise proven kidney
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the relationship between whole-tree water use and wood cell formation in trees, using advanced growth models to predict the future of wood formation and carbon allocation in forests facing drier conditions. Within
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biosensors for measuring antibiotic concentration dynamics inside bacterial cells in infection biology assays, ranging from biofilm treatment to stem-cell-derived organoids and bioengineered tissue infection
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faculty members in the lab. The candidate will have the opportunity to contribute to stem cell research and apply techniques, including adult stem cells and induced pluripotent stem cell (iPSC) culture and
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Neoplasms’ together with Professor George Vassiliou, Cambridge Stem Cell Institute, University of Cambridge, United Kingdom funded by a ‘Molecular Mechanisms Linking Obesity and Cancer (MMLOC)’ grant from
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together with a technician in the Stem cell specification and Regeneration team and be supervised by Dr. Renze Heidstra. This EU-Horizon Innovation Actions funded PhD position is part of the project: AI