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Field
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In this Postdoc you will investigate methods for risk-aware navigation among decision-making agents, using learning and optimization, and apply them to self-driving cars and teams for quadrotors
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are gaining significant interest for sustainable seawater desalination. This postdoctoral position is part of a research project aiming to design, optimize, and evaluate electrochemical systems [electrodialysis
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topological optimization of light guidance in HCFs, and numerical simulation of thermo- and fluid dynamics under fiber-drawing processes. Apart from the main tasks above, the postdoc can be involved in
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of the mass spectrometry-based proteomic data generated in our chemoproteomics experiments. The postdoctoral associate will be responsible for developing and optimizing custom data analysis and visualization
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of Crystallography, RWTH Aachen University. Comprehensive training programs and individual opportunities for personal and professional development Comprehensive company health management Optimal conditions for
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techniques may be employed to support the modeling of uncertainty, along with the formulation and resolution of planning problems using stochastic optimization methods. Key Responsibilities The selected
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V complexes supported by bis(β-diketiminate) and bis(formamidine) ligands. Synthesis of low-valent Fe and V complexes using a range of reducing agents and optimized reaction conditions. Investigation
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Your Job: Design and development of a modular high throughput sample environment for chemical hydrogen storage investigations under realistic conditions Design, optimization, and testing of sample
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, Synopsys/Ansys, Siemens). Willingness to work on cross-stack optimizations and learn new skills. Preferred Qualifications Experience with multi-physics simulations for thermal, mechanical, and reliability
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coating production and coating use. Test methods Reliable and fast test methods to optimize coating performance is of utmost importance in coatings development. We work on new test methods and optimisation