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thermal control for real-time configuration adjustments. This hybrid passive-active system reduces dependence on traditional mechanical components, offering significant improvements in fuel efficiency
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on understanding and controlling the structure of the casein micelle (CM), a key component in dairy systems, under various simulated processing conditions. The project will be caried out in close collaboration with
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defects and trapped charges Thermochronometry and rock surface dating You will be part of the dynamic and interdisciplinary LUMIN team, which includes engineers, scientists, postdocs, and PhD students
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geochemical weathering proxies to help build a picture of how past plate tectonics controlled the earth surface systems. The successful candidate will be working on aspects of an Australian Research Council
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by the EPSRC. The research will involve developing new controlled polymerization catalysts to deliver carbon dioxide-derived and bio-derived polymers. The catalysts, and processes, used to make
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Knowledge, Skills, and Abilities PhD in Neuroscience is required. Experience with in vivo imaging in head-fixed behaving mice is required. Experience with Arduino microcontrollers for the design and control
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machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
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Your Job: Develop techniques to simulate, control, and optimize the time-dependent dynamics for increasing system complexities Implement and optimize small quantum circuits on super- and semi
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/sintering of functional ceramics Have knowledge of SOEC materials and technology As a formal qualification, you must hold a PhD degree (or equivalent) in mechanical engineering, materials science, or a
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control for iPSC lines. • Establish and optimize experimental protocols and analytic pipelines for assays (e.g., imaging-based biomarker assays, metabolic flux assays), multiomics profiling, and