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Field
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Overview: Project Overview Investment casting is an ancient yet vital manufacturing technique, especially in the aerospace sector where thin-walled, complex components are increasingly required
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will be expected to engage deeply with the interdisciplinary domains of LLMs, software engineering, and performance optimization, to advance the next frontier of cutting-edge AI in system software
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engineering and can demonstrate through other projects or experiences knowledge across the disciplines of electronics, software development and/or RF communication. An interest in rocketry and/or prior
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proof-of-concept software tools Machine learning is a plus Strong analytical and programming skills are required (Python, Matlab, and C/C++). Prior proven experience in data-driven innovation projects is
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engineering challenge. Key to success will be the development of cost competitive and reliable methods to produce hydrogen via electrolysis of water/steam driven by green electricity. Hydrogen can be used as a
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typically involve working with both academic and industrial partners in Europe. Hence, collaboration with the software and automation industry in the form of both future product owners and users is a key
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PhD Scholarship Opportunity – Software Engineering for Social Good Job No.: 677910 Location: Clayton campus Employment Type: Full-time Duration: 3.5-year fixed-term appointment The Opportunity
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based integration of software-defined CPS (Cyber-Physical Systems) and IoT devices. -Replication and software updates during runtime for mission-critical devices and systems. -Model based engineering
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: Required qualifications: Master of Science in Civil or Environmental Engineering, or a related field. Experience in hydrological modelling. Proficiency in English, with strong skills in scientific
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applicant will be enrolled as a doctoral candidate at the Karlsruhe Institute of Technology (KIT) and will work on the above-mentioned topic. Personal qualification You have an excellent master’s degree in