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processes, regularity theory of nonlinear degenerate and singular elliptic and parabolic PDEs, free boundary problems, optimal control of free boundary systems with distributed parameters. Current areas
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training on the job, in addition to personal development possibilities and our pronounced vocational training culture. If you wish to optimally combine work and family life or other personal interests, we
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from control theory, machine learning, optimization, and network science, spanning diverse application domains such as energy systems, biomedical systems, neuroscience, and safety and security
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hydrate–based carbon capture. The work will include reaction optimization, purification strategy development, scale-up toward bulk production, and exploration of alternative promoter candidates
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for advanced applications in PET imaging. PET chemistry plays a central role in this endeavor, as the design of radiotracers with optimal in vivo stability, selectivity, and pharmacokinetics is essential
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, predictive synthesis optimization, and high-throughput data analysis. Develop novel synthetic methodologies and characterization approaches for advanced nanomaterials, leading to high-impact publications and
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experience at the time of application; (b) have experience in conducting research, and skills in AI for modelling and optimization of industrial systems; and (c) be proficient in English. Applicants
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recovery strategies for emerging solar technologies. Working in state-of-the-art laboratories, you will design experiments, optimize processing conditions, characterize materials, and collaborate with
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REQUIREMENTS We are looking for a graduate student with background in petroleum and natural gas engineering to work on development of advanced AI based models for drilling optimization and wellbore stability
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adaptive optimization during needle insertion, integrating live ultrasound imaging with GPU-accelerated dose calculation and optimization. The Postdoctoral Research Associate will join a multidisciplinary