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flexible mindset. The tasks and responsibilities range from creating experimental paradigms and data acquisition and analysis, requiring a solid theoretical and practical background in relevant fields
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and master’s students. Your profile We are looking for a highly motivated candidate with a strong background in remote sensing, machine/deep learning, and geospatial data analysis. The ideal candidate
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employment The position is for a 2-year period starting 1 August 2025. Job description The post doc will join Kasper R. Andersen’s research group working on structural and functional analysis of plant
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Nordic Foundation. You will join a vibrant research team led by Prof. Jakob Skou Pedersen that uses generative AI for cancer genomics and single-cell data analysis. Department of Clinical Medicine As a
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induction and Cre/lox systems Tissue processing and immunostaining (including brain perfusion, cryosectioning, immunohistochemistry) Microscopy-based analysis (confocal; light-sheet if interested) Optional
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and characterize metabolic pathways and targets. Data analysis and integration using R and/or Python, including statistical analysis, visualization, and multi-omics data handling in collaboration with
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skills are required: A proven track record in optogenetics, in vivo electrophysiology, network analysis and in mouse behavior and memory-related measures. The applicant should have completed a University
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to drafting a manuscript through data analysis and graphic data display. In your daily work, you have a close interaction with competent colleagues. Your main tasks will consist of: laboratory measurement
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background in feed processing technologies, biochemical, and chemical evaluation methods. Proven experience in experimental design, data analysis, scientific communication and writing. Demonstrated ability
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compositional and functional analysis of the rumen microbiome by integrated metagenome, metatranscriptome, and metabolome data correlated with enteric methane emission in dairy cows fed the novel seaweed product