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for Magnetic Resonance and Technical University of Denmark. This work is part of a long-standing research program at Duke for rigorous computational modeling and experimental characterization of both invasive
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: PhD in Veterinary Epidemiology or a related field, or demonstrated experience with epidemiology Strong quantitative data analysis skills Applied understanding of epidemiological principles Demonstrated
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the competences of the IML group within prediction of T cell immunogenicity and immunoinformatics in general. You will work with nearby bioinformatics, postdocs and PhD students working on other projects within
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. Additionally, your resume must comprise: A PhD or equivalent Research experience in Software Engineering or Digital Twin & Digital Transformation Track record of publications. Ability to work collaboratively in
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. Develop GUI tools for the developed methods. Publish high-quality journal papers. Supervise MSc student projects and be co-supervisor for PhD students. The successful candidate is expected to have: A keen
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. CAPeX is hosted by the Technical University of Denmark (DTU) and co-hosted by Aalborg University (AAU), and unites leading experts from DTU, AAU, University of Copenhagen, Aarhus University, and the