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the development of scalable AI prototypes while forging new algorithmic paths in generative AI for the natural sciences, empowering researchers to tackle complex, data-intensive challenges in uncharted territory
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on: Developing robust synthetic routes to new chelating ligands and in particular their antimony complexes. Employing advanced spectroscopic, electrochemical and X-ray diffraction and fluorescence techniques in
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complex droplet flow patterns and the relations with the chemistry. One successful theory for optimization of surfactant impact and blends is the hydrophilic-lipophilic deviation balance. This enables us to
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, 2025 - or soon thereafter. We are offering a position in Interaction Design for Educational Tools for Computational Thinking. This position addresses, in particular, complex and emerging digital
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vision to reduce algorithmic complexity by orders of magnitude, e.g. by tracing paths of trees and extraction from knowledge bases (KBs), as opposed to pure DL Defining specific CSK-premises (in
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. We are seeking candidates with a strong research record within efficient algorithms, broadly understood as spanning from algorithms design and analysis to complexity theory. Examples of interesting
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with experimental or computational methods for studying the failure of complex and heterogeneous materials. You have demonstrated the ability to publish in high-quality international journals and to