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controlled common garden experiments, and analyze the molecular pathways involved in adaptation to extreme environments. While a core project framework is in place, there is flexibility to tailor specific
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distributed data processing approaches to address issues of incomplete or redundant multimodal data, dynamic updates, and scalable semantic interoperability in large-scale DPP systems. Particular emphasis will
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on developing new concepts in catchment–alluvial fan dynamics within a structural framework, with emphasis on sedimentology and petrography, and integration of complementary datasets, including seismic data
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at the intersection of formal ontology, information modelling, and artificial intelligence. The postdoc will contribute to both the theoretical and applied dimensions of the IMF initiative and is expected
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the Department in subjects related to alluvial fan sedimentology, architecture, and petrography. The position will focus on developing new concepts in catchment–alluvial fan dynamics within a structural framework
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competent candidate with strong experimental background in molecular biology and/or epigenetics that can work independently. The candidate should be able to collaborate in a research team of national and
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students, and over 240 PhDs and postdocs. The overall staff of the Department is close to 370 employees, about 280 of these in full time positions. The full time tenured academic staff is 75, mostly Full
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focused on delineating the biogenesis of subsets of NK-EVs using state-of-the art molecular and cell biological tools, and understand how NK cells regulate their release. This work will be tied up with
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candidate and availability of the pilot sites. The core activity of the ATLAST2 shall support Researchers, PhD candidates and Postdocs. They work in close contact with the research and user partners
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PhD Research Fellow in Chemistry-focus on Experiments in Chemical Kinetics and Heterogeneous Catalys
conduct catalytic experiments using advanced transient methods based on mass-spectrometry and develop mathematical models to interpret these data in terms of molecular mechanisms. International