132 data-"https:" "https:" "https:" "https:" "AALTO UNIVERSITY" positions at Nature Careers in Denmark
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ELEGANCE website: https://elegance.dtu.dk/ Google Scholar profile: https://scholar.google.com/citations?hl=en&user=yZDS88IAAAAJ More information about DTU Biosustain: www.biosustain.dtu.dk CPE group: https
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relatives of eukaryotes. Yet, due to the scarcity of cultured representatives, functional insights into their biology remain limited and are mostly inferred from genome data. In this context, you will be
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Declaration of interest regarding PhD project within the field of biomarker and therapeutic targe...
translational liver research, including data analysis, experimental design, and scientific dissemination. Qualifications We are looking for a highly motivated PhD candidate with a strong interest in translational
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cultural events including music festivals etc. See e.g. the recent recommendation by CNN (https://edition.cnn.com/travel/article/aarhus-denmark-things-to-do/index.html). Aarhus is easily reached through
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research collaborations, experience with survey data collection in- and outside Denmark will be an advantage as well as the ability to write and communicate fluently in Danish and English Experience with
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organisations like educational institutions, municipalities, and companies. More information about the department can be found at https://imada.sdu.dk/ . Application deadline: 28 February at 23:59 hours local
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planning, conducting, and publishing epidemiological studies using large-scale observational data, primarily register-based, focusing on women’s short- and long-term health outcomes within the specific work
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process here . You can read more about career paths at DTU here . Further information Further information may be obtained from Professor Kim Dam-Johansen, Director of CoaST (kdj@kt.dtu.dk ) or Professor
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new collaborative effort between DTU, UCPH and SSI, funded by the Novo Nordisk Foundation we will be developing online bioinformatic tools for analysing and sharing pathogen genomic data. As part of
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interpreting large-scale spatial transcriptomic data from multiple clinical trial. You will collaborate with an interdisciplinary teams of scientists and clinicians to develop bioinformatics pipelines and tools