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” (Improving green innovation for the blue revolution – Homepage - IGNITION ). The project seeks to revolutionize salt tolerant (halophyte) biomass use by developing a universal biorefinery model for processing
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engaged in experimental and analytical work focused on the recycling of textiles through thermochemical and solvent-based processes. A central part of the role involves operating both pyrolysis and
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on networks. The aim will be publishing several research papers at top-tier data mining, data management, or machine learning conferences based on the research work. The project’s principal supervisor is
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, we do not know the neuronal pathways. Thus, we wish to study the molecular mechanistic impact of calmodulin mutations in neurons. As our model system, we will establish cultured neurons derived from
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qualifications at PhD level. How to apply Your application must include the following: Application, stating reasons for applying, qualifications in relation to the position, and intentions and visions
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obtainable using the Oxford Nanopore sequencing platform and improve genome recovery from metagenomes by developing new binning algorithms based on machine learning. Furthermore, the postdoc will aid in
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obtainable using the Oxford Nanopore sequencing platform and improve genome recovery from metagenomes by developing new binning algorithms based on machine learning. This postdoc position will utilize
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the Oxford Nanopore sequencing platform and improve genome recovery from metagenomes by developing new binning algorithms based on machine learning. The postdoc will be part of the Microbial Metagenomics group
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PhDs and postdocs. The Postdoc will conduct research on ferroelectric thin films to obtain switchable surface adsorption energies in photo electrocatalytic cycles, seeking to enhance water splitting. The
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across Denmark and we want to obtain a basic understanding of their ecophysiology, distribution and importance. The microbes will be selected based on metagenomic investigations (metagenome-assembled