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- Technical University of Denmark - DTU
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focuses on developing and applying digital technologies such as additive manufacturing/3D printing, numerical modelling, artificial intelligence, automation and robotics, digital twins, and smart materials
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bioinformatics including NGS (Nanopore, Illumina, PacBio) Experience with automation and coding in Python or other programing languages Experience with protein software tools like AlphaFold3, Boltz2, PyMOL
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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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background are encouraged to apply. As DTU works with research in critical technology, which is subject to special rules for security and export control, open-source background checks may be conducted
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for security and export control, open-source background checks may be conducted on qualified candidates for the position. The Novo Nordisk Foundation Bioresearch Institute for the Green Transition (BRIGHT
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mandatory: Experience with bioinformatics including NGS (Nanopore, Illumina, PacBio) Experience with automation and coding in Python or other programing languages Experience with protein software tools like
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DTU Tenure Track Researcher in Low-Noise Supercontinuum Lasers and Supercontinuum Laser based Opt...
of Thulium fs lasers. You will also be a co-supervisor of postdocs and PhD students working on the project. We therefore require you to have strong experimental qualifications within fiber optics, fiber lasers
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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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approximation algorithm, using linear programming methods. Over the next years, the project will grow to a collaborate team of 4-5 PhD students and Postdocs. The successful candidate will work directly with the
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. Our activities span enzyme and microbial systems, process intensification, and control strategies, with the aim of linking fundamental insights into biocatalyst behavior to robust process implementation