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. Transition metal-based complexes, in particular, offer rich spin properties that can be tailored through ligand design. This project aims to explore and optimize such molecules to enhance their performance as
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of algorithms, discrete mathematics, probability, or optimization excellent written and spoken English skills knowledge of German, or willingness to learn, is desirable since the position involves undergraduate
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tolerance of these novel materials and to enable a knowledge-based assessment of their suitability for future nuclear systems. At the same time, the successful candidate will contribute to maintaining
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challenging, and new theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine learning. It also offers
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) develop participatory planning methods based on the technical outcomes from the digital twin to create future scenarios for responsible mobility that are technically well-grounded and at the same time
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of nanoparticle-modified copper-based powder materials for additive manufacturing. Your responsibilities will include the production of compositematerials from metallic powders for 3D printing, the development
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learning and data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms
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-specific knowledge and competence and forming a practice of interdisciplinary work. The program gives doctoral students the opportunity to develop and regularly discuss their own research based
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Black Widow spider, Latrodectus tredecimguttatus . The work will primarily involve conducting behavioral experiments and applying LC/MS and GC/MS based metabolomics approaches to comprehensive explore
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water supply sources based on contaminant removal performance and specific energy consumption. Water-energy nexus, resource recovery, and circular economy feature in this project, and will be used