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engineering, or similar. Solid mathematical and analytical skills, including signal processing and optimization. Knowledge about classical and/or quantum data communication, including for instance error
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, including design, materials and processes, or testing, would strengthen your application. Finally, a background or keen interest in statistics, statistical analysis, and surrogate-based modelling would be
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design and laboratory experimentation, you will first explore a broad range of sodium-oxide glass compositions using advanced computer models to predict how well ions can move through them. Based
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electrical energy storage systems; energy management systems. Experience with data processing, statistical analysis and machine learning techniques is an advantage. Knowledge with Mathworks suite, C/C++ and
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to contact us. You will find contact persons at the bottom of the jobpost. Interviews will be held in late March or the beginning of April. Further information Read more about our recruitment process here
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self-learning autonomous robotic systems for reliable operation in extreme environments. Our research strengthens robotic autonomy and resilience, enabling systems to operate safely and with minimal
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around building and deploying AI in healthcare. The main case will be automation of anesthetic pre-screenings. Potential auxiliary cases include evaluation of laparoscopic surgery and AI assistance
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generating new theoretical insights into the role of PBL in emergency contexts, clarifying how crisis conditions reshape learning and organisational processes, and advancing methodological approaches capable
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, turbulence mixing models) and to evaluate the effects of key operation conditions during flame-wall interaction (e.g., wall distance and injection pressure) on combustion, heat transfer and emission
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are more than welcome to contact us. You will find contact persons at the bottom of the jobpost. Further information Read more about our recruitment process here. The assessment of candidates