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(120 ECTS) in chemical engineering, computer science, or a related discipline Some familiarity with ontologies, semantic data formats, knowledge graphs, and technologies such as OWL, RDF, SPARQL
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student in this project, you will: Collaborate with leading experts across Denmark and Europe in a high-impact, interdisciplinary setting Gain hands-on experience with protein characterization, advanced
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enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education
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variants for Novo Nordisk projects (i.e. 1 – 100 L). Apply yeast based CFPS extracts to deliver proteins for Structure-Activity Relationship studies, high throughput research to optimize in vivo recombinant
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dynamic community of PhD students and actively supports diversity. We are looking for a motivated applicant with good competences in operation research who wants to gain hands-on experience in cutting-edge
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facilities for experimental research within molecular biology, strain engineering, high throughput screening, and fermentation at various scales. Focus on genetically engineered microorganisms to produce milk
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Neighborhood Search (LNS), which will use the developed approaches to design smarter LNS destroy/repair strategies, enabling further performance improvements. The PhD student will join a strong academic team at
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ecosystems, and you are motivated by bringing together state-of-the-art expertise in a high-risk/high-gain project devoted to understanding the molecular cues and neuronal signalling underlying insect
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similar work on other zoonosis projects. Dissemination of your research through publications in national and international scientific journals and attendance at conferences in co-operation with your
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collaborators abroad, with access to state-of-the-art facilities for systems biology, genome engineering, and bioprocess development. Your primary tasks will be to: Design and perform adaptive laboratory