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expertise on epigenetic and epitranscriptomic modifications, DNA repair and genome (in)stability, single-cell and single-nucleotide analysis, embryology and healthy development. Read more about CRESCO here
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for understanding the phenotypic plasticity in different cancer cell states. The main job description will be to perform advanced computational analysis of the single-cell omics data with emphasis on identification
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for this position is expected to investigate multimodal correspondence between gesture, vocalization and vocal production movements through computational analysis and to explore the implications of the results
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, recording techniques, and analysis pipelines, with particular attention to ensuring that technical expertise is preserved and transmitted across lab generations. Coordinate some of the scientific operations
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on the existing literature about the gendering of fisheries, in dialogue with gender studies, social science concept analysis, legal anthropology and anthropological approaches to the state, organizations, law and
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multimodal correspondence between gesture, vocalization and vocal production movements through computational analysis and to explore the implications of the results for multimodal sense-making (how different
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literature about the gendering of fisheries, in dialogue with gender studies, social science concept analysis, legal anthropology and anthropological approaches to the state, organizations, law and policy
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. Experience in (meta)proteomics. Bioinformatics skills for handling large-scale omics data. Proficiency in at least one programming language (preferably Python or R). Experience in statistical data analysis and
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project, SmartWheat: Harnessing AI Models for Climate-Resilient Wheat Varieties in Sustainable Agriculture, at NMBU. The successful candidate will develop AI-driven models for the analysis of UAV-based
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combine surveys, workshop-based research, participant observation, interviews, and qualitative analysis to examine how future imagination and anticipatory capacities influence governance responses