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, Natural Language Processing, and structured knowledge representations. As a researcher within Integreat, you will contribute to developing next-generation Machine Learning for advanced data analysis
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, Natural Language Processing, and structured knowledge representations. As a researcher within Integreat, you will contribute to developing next-generation Machine Learning for advanced data analysis
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information, and case files Potential research topics for the Ph.D. project are: Adaptation of language model architectures and pipelines for high-stakes public sector Benchmark and comparative analysis methods
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the chips and demonstrate the capabilities of the PICs. The PhD will collaborate with researchers in machine learning for analysis of the recorded Raman spectra and with biologists on the utility
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analysis, and scientific collaboration. Good written and oral skills in English and ability to work in an international research environment. Nordic applicants can document their English qualifications by
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the master's degree has been awarded. The candidate must have good knowledge in the topic of Cryosheric Processes. Proficiency in scientific coding and data analysis programming languages, such as Python
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analysis of ecological or biodiversity data using R. Experience (for example, a master’s project or internship) working with plant, vegetation, or alpine ecology is a requirement. Fieldwork experience and
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hydrological and/or cryospheric modelling, preferably at catchment or regional scales, is a requirement Strong skills in statistical analysis and the handling of large spatiotemporal datasets is a requirement
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, fluorescence microscopy, or proteomics. Familiarity with image analysis and quantification (e.g., Fiji/ImageJ, CellProfiler). We will also emphasize motivation and personal suitability for the position. We
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technology, and ethics. You will be also part of the Digital Signal Processing and Image Analysis (DSB) group in the Department of Informatics at UiO. Francesco Saggio/UiO via Unsplash Francesco Saggio/UiO