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qubits through advanced characterization techniques. Job description: The candidate will synthesize novel transition metal-based complexes designed to exhibit desirable spin properties. They will perform
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– from the modeling of material behavior to the development of the material to the finished component. PhD Position in Machine Learning and Computer Simulation Reference code: 50145735_2 – 2025/WD 1
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the technical and social challenges of Advanced Air Mobility (AAM), considering ecological, economic, technological, and sociological factors. The RTG's structured PhD program aims to train young researchers in
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equal opportunities Support in balancing work and family life Extensive advanced training opportunities Occupational health management offers Flexible working time models Opportunity to work remotely The
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management platform that connects institutes to facilitate a rapid and efficient exchange among experimental and computational groups Devising an approach in invertible predictive modeling that links
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pose significant challenges for environmental and human health protection. Microplastic contamination is increasingly being detected on agricultural land. Sources include the direct application
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focuses on decoding the structure and function of matter, from the smallest particles of the universe to the building blocks of life. In this way, DESY contributes to solving the major questions and urgent
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are three-stranded nucleic acid structures consisting of an RNA-DNA hybrid and a displaced single-stranded DNA (Allison et al., CST 3, 38-46 (2019)). They form naturally during transcription, where
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employees to advance science for society. Join us in breaking new ground and writing success stories –your own and those of our university. Support us as of now in part-time position (65 %) as a Doctoral
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subject areas with strong relevance to national development. The scholarships at SEARCA are available in the following fields: UPLB: Environmental Science (ENS) KU: Sustainable Land Use and Natural Resource