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to complete the final exam. Desired: Familiarity with statistical and machine learning techniques. Knowledge about molecular biology and/or gene regulation. Experience with nanopore sequencing, Hi-C, ribosome
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within three months of accession in the position. The vacant position is part of a collaboration between the Colour Vision and Retinal Imaging Laboratory headed by Prof. Rigmor C. Baraas, the Molecular
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properties, and how these are controlled by geological processes, will be essential when developing theoretical rock physics models for shales. At macroscale, these models will be important for evaluating seal
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responsible for day-to-day management of a work package that centers on laboratory testing of a newly discovered human genetic knockout model population, as well as data analysis of large-scale registry data
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processes, will be essential when developing theoretical rock physics models for shales. At macroscale, these models will be important for evaluating seal integrity and transport properties of shales
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important part of the mission of SecurEL. The PhD candidates funded by the Centre will contribute with cutting-edge knowledge and research. Overall, the Centre will directly finance 17 PhD and postdoc
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accordance with the regulations in force concerning State Employees and Civil Servants and national guidelines for appointment as PhD, PostDoc and research assistant. If you are in the final stage of your
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be placed on Representation Learning techniques, Transformer-based architectures, Large Language Models (LLMs), Natural Language Processing (NLP), etc. The research will also explore distributed data
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mountain catchments. The goal is to understand long-term changes in runoff regimes and flood hazards by combining climate-driven (glacier-)hydrological modelling with reconstructions of past flood events
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floods—in mountain catchments. The goal is to understand long-term changes in runoff regimes and flood hazards by combining climate-driven (glacier-)hydrological modelling with reconstructions of past