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Additional Skills and Experience Experience utilising and integrating multiple methods and multiple kinds of data in their research Proven ability to implement research projects on time and to a high quality
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engineering challenges. Currently, three postdocs and about 15 PhD students are working within our main research areas: Lightweight materials and structures, multi-phase and metallic materials, Process modeling
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students and senior researchers from multiple disciplines to tackle challenges in sustainable aluminium through AI-driven microstructural analysis. The NEST-WISE project offers a vibrant collaborative
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glycosylation, the most complex cellular enzymatic process chemical or chemoenzymatic synthesis of glycan-based reporter molecules and small molecule inhibitors contribution to scientific primary publications
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biomedical engineering. We currently host several Ph.D. and postdoctoral fellows from Denmark and multiple nationalities. The group’s research interest spams from musculoskeletal simulations to design and
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Deutsche Forschungsgemeinschaft within the Reinhart-Koselleck programme for innovative high risk-high gain research. Requirements: university degree in chemistry or physics and profound knowledge in
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systems using various tools and models, including: i) characterization of the emerging patterns in physical systems (solid state materials and active systems); ii) investigation of the mechanical properties
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to achieve efficient and proactive reconstruction of the printing process, enabling real-time in-situ monitoring of large-volume material deposition and 2) How to adaptively compensate for size-induced defect
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the Reinhart-Koselleck programme for innovative high risk-high gain research. Requirements: university degree in chemistry or physics and profound knowledge in computational and theoretical physics/chemistry
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for the purpose of engaging a broader range of actors in critical reflection on future scenarios embedded in their local context. Your research methodology will be developed in the context of multiple research