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Field
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interdisciplinary lab will include two PhD students and a cross-disciplinary team of supervisors. The team members, including the two PhD students, will collaborate closely to bridge technical development and
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interface of microbiology, chemical ecology, bioinformatics and drug discovery, contributing understanding that can support development of new antibiotics against Gram-negative bacteria. The project is funded
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Applying machine learning-guided directed evolution to improve multiple enzyme properties Upscaling selected biotransformation reactions in collaboration with academic partners Responsibilities and
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45258144) You can read more about DTU Chemistry at https://www.kemi.dtu.dk/english/ and https://www.kemi.dtu.dk/english/-/media/institutter/kemi/omos/annualreports/annualreport2023dtukemi.pdf If you are
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more about Section for Aquaculture at https://www.aqua.dtu.dk/english/about/organization/scientific-sections/section-for-aquaculture If you are applying from abroad, you may find useful information
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and multi-vehicle behavior. These models will allow for iterative development and testing of localization and integration strategies prior to field deployment. Field experiments and validation
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pathogens S. aureus and P. aeruginosa growing alone and in co-culture in wound models. Development of MS proteomics approaches for detection of pathogen surface proteins and secreted proteins
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involved in the virulent behavior of staphylococci. Your tasks will thus include synthesis, assay development, and biological compound evaluation, including significant amount of work performed in
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individual development. Further information Please visit us on LinkedIn: https://www.linkedin.com/company/sdu-robotics . Further information about this position is available via email from Professor Henrik
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, reaction kinetics and dynamics, and theory/simulation of ultrafast time-resolved experiments. will be a part of the Physical Chemistry section at DTU Chemistry (https://www.kemi.dtu.dk/english/research