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protocols for data format and sharing. Dissemination of the research results. Qualifications: Candidates should have a PhD degree in experimental physics, chemistry, materials science or equivalent. The core
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project description The project is leveraging the latest research within brain-inspired data processing aiming at reducing workload and improving accuracy of Long-Term Video-Electroencephalographic
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at the intersection of digital building technologies, data science, and energy systems. By joining our forward-thinking section Digital Building Technologies at DTU Construct, you will gain hands-on experience in
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analyses on harvested tissues and biofluids. The postdoc will be responsible for planning the experiments, data acquisition, preparation, analysis, manuscript writing, and other activities for disseminating
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with experience in one of the following directions: Analysis of meta-omics data sets, microbial physiology and cultivation, enzyme biochemistry or activity-based microscopy techniques (e.g. BONCAT
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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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collaboration between research groups at several departments at Aarhus University. For further information, please contact Professor Kurt Gothelf +45 60 20 27 25 kvg@chem.au.dk Application procedure Shortlisting
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process modelling, experimental data, model parameters and modelling approaches in order to optimize design, analysis and operation of complete capture processes. The goal of the project is to develop
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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