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spectrometry (LA-ICP-MS) for biomedical samples within the framework of the Collaborative Research Centre SFB 1340 “Matrix in Vision“ Planning and realisation of measurements with LA-ICP-MS in cooperation with
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large multi-dimensional datasets using statistical tools such as positive matrix factorization (PMF) and cluster analysis Investigate the influence of different urban emission sectors on atmospheric
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cyclacenes, a certain class of cyclic aromatic compounds that have been first proposed by Heilbronner in 1954, but still are elusive till date. By combining the expertise of synthesis, matrix isolation
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, and high-performance computing. It aims to improve the performance of the matrix-free finite-element-based framework HyTeG, in particular by techniques for data reduction through surrogate operators