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-performance chain; therefore, enabling stability and control of novel manufacturing processes as well as achieving desired properties within materials science and engineering. Use-cases will be defined within
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(diploma, master's degree) in transport engineering or civil/electrical/control engineering or mathematics, or related study programs with a solid basis in optimization Description of the PhD topic
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control software and machine learning expert. How you will support us: ▪ You will take on responsibilities in the field of control and operation of high-coherence superconducting quantum circuits, with a
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will lie on developing machine learning models for regression and reinforcement tasks to work with, enhance or replace established methods from computational engineering and computer simulation (such as
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at the University of Tübingen invites applications for a PhD position. The project will focus on engineering dynamic control systems in microbial metabolism (so-called growth switches and metabolic valves
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for Biomagnetism and Biosognalanalysis – ideally with you on board! The Project “Multi-channel transcranial current stimulation (mc-tCS): a novel approach to modulate smooth pursuit eye movement control in healthy
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consisting of PAT and mechanistic / data driven modelling allowing process control. Steps to be taken will be: Developing a process applicable PAT method (single / multisensoric) for AAV / LNP / VLP detection
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collaboration, transdisciplinary cooperation with practice and an overall dynamic development characterize its research profile in the fields of education, culture, political science, management and technology as
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on methods development in machine learning, uncertainty quantification and high performance computing with context of applications from the natural sciences, engineering and beyond. It is embedded in
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Your Job: As part of your activities, you will carry out investigations of the continuous butanediol dehydrogenation under dynamic hydrogen release using pressure control in the laboratories