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- Delft University of Technology (TU Delft); 17 Oct ’25 published
- Delft University of Technology (TU Delft); today published
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explore this new frontier at the crossroads of catalysis and structural dynamics? Your job Better catalysts are needed for a more sustainable chemical industry, but steady-state catalysis faces fundamental
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project, you will develop machine learning models that learn from high-throughput experimental datasets to uncover structure–property relationships and guide the selection of new experiments. The datasets
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. Current practices are typically qualitative and ad hoc, which limits comparability and transparency across clients, especially in commercial insurance contexts. This PhD project aims to develop a structured
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nanoscale substrates depends highly on their cleanliness. Reduction of contaminating particles improves the overall efficiency and quality, thereby enabling the creation of larger structured substrates
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violations is longstanding. Such corporations operate across borders and through diffuse and complex decision-making structures that frustrate the attribution of criminal responsibility on a national level
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of multipath propagation, temperature, and flow-induced refraction typical of urban canyons. Investigate how urban geometry and atmospheric flow structures influence the performance of array-based and
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microbubbles can map microvascular dynamics but is limited to assessing intravascular flow and structure. Nanobubbles, capable of penetrating the tumor microvasculature and targeting cancer-specific biomarkers
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using nanopore technologies explore structural genomic differences between populations by combining de novo assemblies into a pan-genome graph perform population genomics analyses on re-sequenced animals
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culture and cell separation. Skills in flow cytometry, microscopy, genetics or protein structure analysis are considered an advantage. Strong understanding of cellular processes – Knowledge of cell
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societal challenges from a uniquely integrated perspective. Job responsibilities Transforms floorplans and construction drawings of buildings into geo-data, and generate potential energy efficiency