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data and offers a broad range of online and in-house bioinformatic pipelines for analysing bacterial and viral genomes and metagenomes. The group has already back in 2013 developed a bioinformatic
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cytometry and LC-MS/MS, and DNA/RNA sequencing and bioinformatics analyses. Thus, we are looking for a Post-Doctoral researcher with prior experience in several of these techniques. Your role will be
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join our research activities focused on the development and long-term durability of SOEC cells, with particular emphasis on operation under technologically relevant conditions. Electrolysis and green
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analysis and bioinformatic methods Experience in enzyme immobilization Expertise within environmental science research and/or PFAS analysis Experience in bioprocess engineering Eager to work with master and
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Postdoc position to support international research and capacity-building projects employing elect...
assignments The successful candidate will contribute to the acquisition, processing, inversion, and interpretation of large-scale EM datasets for hydrogeological mapping in Ethiopia. The work will involve both
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. Proficiency in spoken and written English Demonstrated expertise in one or more of the following areas: genome integrity, stem cell culture, quantitative and live-cell microscopy, or bioinformatics We offer Two
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a decision-making tool to design sustainable processes. The postdoc projects will be in the field of industrial biotechnology and employ disciplines within enzyme discovery, enzyme engineering
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substantial knowledge and research experience in areas such as computational fluid dynamics, turbulence modeling, data-driven methodologies, machine learning, and parallel computing. The candidate should also
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external partners Conduct CRISPRi-based pathway perturbation assays Analyze and interpret complex molecular datasets in close collaboration with bioinformatic experts Contribute to scientific publishing and
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across molecular biology, ecology, bioinformatics, and environmental science. The taxonomic scope is broad and inclusive: we aim to collect comprehensive data across multiple taxonomic groups to support a