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research project focuses on regulatory T (Treg) cells and investigating their context-specific identity and function in B cell-driven autoimmune diseases. This collaborative project is embedded in
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Classification Title: Research Assistant Scientist, Neuroscience Classification Minimum Requirements: Minimum requirements include Ph.D. (or an equivalent degree) in neurobiology, cell biology, or
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instability remains poorly understood. This project will use advanced human cell models, molecular and imaging approaches to investigate how extracellular vesicles and other signalling mechanisms drive
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interest in data analysis, modelling, statistics, and machine learning. Experience in spatial data analysis (GIS), scientific programming (Python, R, or equivalent), or artificial intelligence will be
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Your position We aim to pursue a new interdisciplinary approach, combining the synthesis of multi-functional culture-matrices with cell-instructive viscoelastic properties, in-depth cell
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, MFA), or spatially-explicit environmental footprinting (incl. GIS) - Knowledge in the mineral raw materials sector and criticality assessment methods - Knowledge/use of LCA software (e.g. SimaPro
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therapies. In our laboratory, we have established and validated a panel of genetically heterogeneous PDAC models. These studies have shown that malignant-cell genetics shape distinct, therapeutically
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exactly the immue system detects and responds to pre-cancereous lesions. Nevertheless, it is known that the activatin (or deactivation) of anti-cancer immune cells involves many different cell-types
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proficiency in coding, knowledge of GIS environments and point cloud processing, strong interest in heritage scenarios as well as a collaborative attitude for interdisciplinary work between computer scientists
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their website at https://www.naritalab.com/ Our laboratory investigates the biology of preneoplastic cell states, with particular interest in how changes in cell functional identity and plasticity are controlled