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for daily interaction and support and a digital platform for data collection, remote monitoring, and telerehabilitation. Within this PhD project, the objective will be to (i) derive the key requirements
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with an MSc or PhD in biotechnology, molecular biology, protein science, or a related field, eager to apply their expertise to high-impact challenges. Prior experience with protein engineering, display
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100%, Zurich, fixed-term The Robotic Materials group is looking for a highly motivated PhD student to work on programmable materials that access multiple distinct mechanical states for next
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virtual environments Strong quantitative skills (R, Python, or Stata; experience with machine learning or advanced experimental methods is a plus) Familiarity with VR-related toolkits (e.g., Unity, Unreal
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an interdisciplinary team of doctoral students and postdocs working on related topics. In addition to research, the PhD candidate is expected to contribute to lab duties and will have the opportunity to contribute
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skills needed to question conventional construction methods and promote regenerative materials: earth, stone, bio-based, and reused building materials—covering the entire lifecycle from resource extraction
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. The GeoLab is focused on Earth observation and its applications. It uses satellite, airborne, ground-based and in-situ observations and applies AI-driven analysis methods and high-performance computing
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challenges in fluid structure interaction (FSI) relevant to energy, process, and materials engineering, with a strong focus on: Advanced numerical modelling and simulation Experimental methods and sensor
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. For this position the preferred work location is Lugano, but it could also be Zürich. We are seeking a versatile and driven DevOps Engineer to help design, build, and operate the software-defined infrastructure and
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degree with a deep understanding of quantum science. Master's degree or PhD in quantum science and technology is an asset. Experience and/or interest in concepts and/or implementations of quantum science