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, or a related field. Have documented experience in some of the following: Computational materials modelling or quantum mechanical simulations (e.g. DFT, MD). Machine learning / deep learning (preferably
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): Molecular dynamics (MD) and Density Functional Theory (DFT); Protein engineering; Aptamer design/optimisation; Molecular biology; Graphene. DC13: Structural engineering of bioreceptors for graphene. Engineer
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, that together can convert carbohydrates through several intermediates to selectively produce MeTHF. You will be working with a postdoc on this development for a period. Additionally, another PhD student
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/Postdocs and more senior scientists within the MicroAM project. Responsibilities and qualifications If you are you interested in numerical simulations of advanced manufacturing processes which involve
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of an ambitious and team-based research environment with around 50 international staff members, postdocs, and PhD students. Responsibilities and qualifications The successful candidates will contribute
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content may be obtained from Head of Section for E-Mobility and Prosumer Integration, Senior Researcher Peter Bach Andersen (petb@dtu.dk ), Assistant Professor Jan Engelhardt (janen@dtu.dk ), and Postdoc
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well organized, structured, self-driven, and enjoy interacting and collaborating with colleagues, including PhD students and postdocs. You are also expected to take part in the supervision of BSc and MSc