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research tasks related to the CULTS project. Main tasks include scraping (from open sources), organizing, and analyzing large amounts of rhetorical and behavioral communication (text data) of (primarily
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computational research in collaboration with other team members, and is expected to take a role in providing guidance to PhD, masters, and bachelor students. The postdoc will be part of the computational
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for applying, qualifications in relation to the position, and intentions and visions for the position Curriculum Vitae (CV) Diplomas (master's degree diploma and PhD diploma) List of publications, with
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and regional job creation SDU Life Cycle Engineering The successful candidate will be affiliated with SDU Life Cycle Engineering (SDU LCE) at the University of Southern Denmark’s main campus in Odense
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Postdoc – Performance requirements for biobased construction materials used in the building envelope
of materials to provide the basis for formulating new standards using biobased materials in the building envelope. Your main responsibilities will include: Providing scenarios for moisture-related challenges and
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successful candidate will be affiliated with SDU Life Cycle Engineering (SDU LCE) at the University of Southern Denmark’s main campus in Odense. Odense is a fast-growing international city with an open
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theoretically) Relationship to the aim and goals of the PAWP Section Planned national and international collaborations Potential to obtain external funding Copy of certificates/diplomas (Master and PhD degree
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the evolutionary diversity of proteins that are involved in antibiotic resistance and develop novel antibiotics that can evade current and future resistance mechanisms. Principal investigator Professor Tim Tolker
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to the research project A detailed CV Copy of Certificates/Diplomas (Master and PhD degree). A complete list of publications Up to 3 of the most relevant working papers or publications. Please attach one pdf-file
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implement state-of-the-art data science principles into dental practice. While our primary focus is on the use of deep learning in (dental) imaging, our work expands into any type of data (e.g. tabular data