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characterization. The experimental nature of the work requires a very high level of experimental skills, an analytical mindset for interpreting results, and the ability to design innovative experiments. You are a
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written and spoken. Experience with experimental fluid mechanics and computer vision is an advantage. Our offer We offer a stimulating, multidisciplinary research environment within the ETH Domain, with
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(e.g., soft lithography, 3D printing) with experience in CAD-based device design and experimental validation Cell culture: Practical experience with cell culture in microfluidic systems, including co
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broad range of cultural and recreational activities. Application / Contact Motivated applicants should submit (1) a one-page letter that summarizes interests and relevant experience, (2) their CV, (3
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impacts and safety perspective, and providing guidance for designing more sustainable materials, technologies and systems. The ERAM group within TSL have great experience in SSbD, especially in combining
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mathematical/analytic skills. Strong self-motivation. Strong commitment to collaborate and work in a diverse research team. Highly desirable qualifications: Prior experience with executing computational projects
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and flow field interactions Tuning of the CFD models with experimental results Artificial Neural Network training and development Scientific publications in journals and at conferences Supervision
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these gaps by combining field observations, experiments, and macroecological analyses using so far untapped global monitoring data across all populated continents. The successful candidate will focus
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, aligning AI systems with complex human values, and building self-improving agents capable of autonomous learning. Our work combines cutting-edge experimentation – spanning RL, meta-learning, and robust
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excellent programming skills, hands-on experience with hardware (e.g., KUKA-like robotic arms, cameras, tracking systems, imaging devices), and proficiency with software frameworks (ROS/ROS2, OpenCV, ITK/VTK