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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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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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interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and centres on mathematical models of the physical and virtual world, as a basis for the analysis, design, and
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or similar. Background in applied physics/materials science. Experience in STM Experience in programming or writing analysis software is advantageous. Previous experience in nano/micrometer-size device
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one or more of the following areas: Bioinformatics, Gene-expression analysis, Single-cell RNA-sequencing, and Spatial Transcriptomics. It is most important that you possess bioinformatics/computational
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Postdoctoral researcher position/Postdoc in anti-methanogenic potential of bromoform and novel no...
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
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, social networks, fairness, and data ethics. Our research is rooted in basic research and centres on mathematical models of the physical and virtual world, as a basis for the analysis, design, and
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. Our research is rooted in basic research and centres on mathematical models of the physical and virtual world, as a basis for the analysis, design, and implementation of complex systems. We focus
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interdisciplinary team, bridging bioimaging, T-cell immunology, basic skin biology, immune cell engineering, and multiomics analysis. Your Role The appointed researcher will be responsible for: Purify and culture
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: PhD in Veterinary Epidemiology or a related field, or demonstrated experience with epidemiology Strong quantitative data analysis skills Applied understanding of epidemiological principles Demonstrated