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, there will also be research tasks within precise (relative) positioning methods employing techniques such as SSR, FKP, and VRS. In addition to the above research, you will also take part in teaching, public
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experimental research-based technology integration, modeling, control, and data-driven analysis and toolset development. Here is the chance to work in a pleasant team atmosphere, dive into research and at
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hereafter. The position offers a chance to share the unique expertise of the Research Unit Functional Material, Electrochemical Energy Conversion and Circular Economy (MEC) within the fields of: High
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can use and combine various cutting-edge data modes such as single-cell ATAC-seq, single-cell RNA-seq, spatial gene expression, and whole-genome sequencing. The candidate will get the opportunity
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programming languages. The position has a duration of 3 years. Due to the highly interdisciplinary nature of the position, the hired candidate will be part of both the section of Artificial Intelligence
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technical challenges and proposing innovative solutions. Conduct tests at DTU Construct to document and demonstrate the optimal use of recycled metal in production. Contribute to integrating our findings
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FTIR, EPR, XPS, Raman) and DFT-based electronic structure analysis (in collaboration) to elucidate structure–activity relationships. Analyze reaction products, selectivity, and mass balance for both