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generation of MOF water adsorbents with optimal indoor air humidity control performance by leveraging state-of- the-art high-throughput (HT) computational screening based on Machine-Learning Interatomic
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for predictive modeling, high-dimensional optimization, uncertainty quantification, forward and inverse design, including the development of Digital Twin components, under the supervision of Prof. Douglas H
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results effectively to academic, industrial, and general audiences. Key responsibilities Lead the design, commissioning, operation, and optimization of high-temperature reactors for methane and natural-gas
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candidate will support research and development projects that advance the state of the art in machining science, machine tool design and characterization, manufacturing process optimization, and digital
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position within a Research Infrastructure? No Offer Description Activities: Post-Doctoral position #1 – HTT Pilot Plant Operation and Technology Scale-up: Lead the operation, optimization, and technology
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learning, or optimization Strong programming skills in Python and experience with scientific computing and machine-learning libraries Ability to work across experimental, robotic, and computational systems
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Suite. • Experience with numerical optimization techniques • Strong written and oral communication skills, with the ability to effectively present and publish research findings Pay and Benefits Pay Range
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alongside guidance from senior research personnel. Key Responsibilities • Experimental Design: Develop and optimize behavioral and physiological paradigms targeting brain networks. • Data Collection: Conduct
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inflammatory bowel diseases, optimization of checkpoint cancer immunotherapy, complications of liver disease, autism, C. difficile infections, and others. This provides a unique model for real-world drug
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University of Munich is required. Salary and benefits are in accordance with the German public sector scale, TV-L E13. - Your Profile 1. Strong mathematical background (e.g., linear algebra, optimization