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foundation of existing data to characterise the degradation of aggregated proteins or organelles. The PhD candidate working on this project will utilize state-of-the-art methodology and combine in vitro
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of cutting-edge NGS technologies, automation processes, and data analysis workflows specifically tailored for antibody discovery and engineering as well as support Therapeutics Areas in R&D across our global
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biogeochemical modelling and data-driven machine learning approaches at an ecosystem scale to improve our understanding of the fate of nitrogen fertilizers applied to agricultural soils. This understanding will be
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publication record in the relevant area. Proven ability to conduct independent research and analyse experimental data. Experience in teaching at the undergraduate level. For non-Scandinavian candidates
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for good documentation practices and compliance with cGMP, cGTP, and laboratory quality control practices. Conduct appropriate documentation review, data capture, and reporting (e.g., processing record
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School of Biomedical Sciences. The Director oversees institutional planning, assessment, accreditation, and data analytics to support evidence-based decision-making and regulatory compliance. This role
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, 4000 Roskilde. The affiliation will be with Aarhus University, Department of Environmental Science. More information can be obtained from Alexandre Anesio(Head of Section), ama@envs.au.dk , and Carsten
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). For further information for applicants and the information on the collection of personal data, please refer to Datenschutz und Hinweise für Bewerber:innen
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crisis and providing solutions for the analysis of genetically intractable microbes. More information about ongoing research in the Vogel lab can be found here (www.helmholtz-hiri.de/en/ ). Applicants
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, particularly cancer and neurodevelopmental disorders. We employ a comprehensive multi-omics approach to analyze various biological data types, including genomics, epigenomics, transcriptomics, proteomics, and