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focuses on the heterogeneous catalytic hydrogenolysis reaction of HMF to DMF in a batch reactor. A deep understanding of reaction kinetics and systematic process optimizations are crucial for improving
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-driven process control. A central objective is the development and optimization of robust, low-maintenance, and cost-effective sensor systems capable of continuously monitoring COD and other key parameters
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the third year. The position is subject to the approval of project funding, which is still pending. Your tasks The advertised radioecology-oriented doctoral program is being carried out in a joint project
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the Research Group “ Numerical Mathematics and Scientific Computing“ (Head: Prof. Dr. V. John) starting September 1, 2025. The position is assigned to the research project "Randomization of Surrogates
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or discrete probabilistic structures is beneficial but not required. What we offer: WIAS Berlin is a premier research institution known for its strength in optimization, optimal control, dynamical systems, and
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characterization of interface deformation mechanisms, including advanced SEM and TEM methods Finite Element Modeling to design and optimize micromechanical testing geometries Timely dissemination of research
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Senior Scientist / Group Leader on Bioinformatics / Computational Biology on RNA Regulation in Disea
of the Heidelberg University is recruiting a visionary Senior Scientist / Group Leader on Bioinformatics / Computational Biology on RNA Regulation in Disease (f/m/d; tenured) This is not just a job—it’s a mission. A
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applications as Research Assistant Position (f/m/d) (Ref. 25/10) in the Research Group “Numerical Mathematics and Scientific Computing“ (Head: Prof. Dr. V. John) starting September 1, 2025. The position is
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, aerospace or sustainable energy supply: Excellent teams are contributing to the future here. The mission of the »Modelling and Artificial Intelligence« department is to optimize processes, components and
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(link ). Our expertise comprises various aspects of quantum computing, from quantum chemistry and optimization to machine learning (ML). With our activities in quantum-assisted optimization, we