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characterization. Project background The highly interdisciplinary project is about the development, characterization, modeling, and application of micro-and nanoscale ultrasound contrast agents for molecular imaging
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bottom-up approach to robotics and develop soft materials and devices that would enable unusual form and unconventional functions for broader robotic applications. Job description Track 1: Fiber-based soft
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the nanoscale The Laboratory for Mesoscopic Systems based at the Paul Scherrer Institute (PSI) is a joint laboratory between the ETH Zurich and the Paul Scherrer Institute, which is the largest research centre
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: Fiber-based soft optical actuator Design and fabrication of high-performance soft optical actuator Design, modeling, and scalable manufacturing of miniature, highly integrated fiber actuator Demonstration
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modeling. Transcriptome recording and cellular history reconstruction We are advancing our CRISPR-based transcriptional recording method (Schmidt, Nature, 2018; Tanna, Nature Protocols, 2020) that encodes
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research consortium will develop a new type of molecular motor, based on a proto-driven switching mechanism, called tautomerism, which has thus far remained underexplored in motor designs, despite its
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utilization. The successful candidate will play a significant role in the EU‑funded TIMBERHAUS project (www.timberhaus.eu). Your tasks Develop machine learning models and computer vision algorithms for wood
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: Fiber-based soft optical actuator Design and fabrication of high-performance soft optical actuator Design, modeling, and scalable manufacturing of miniature, highly integrated fiber actuator Demonstration
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responsibilities may include: Development or analysis of novel Machine Learning algorithms for engineering design applications, such as Inverse Design, Surrogate Modeling, or generative modeling. Collaborating with
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thinking with renewable energy community planning, developing methodological innovations that bridge quantitative modeling and qualitative approaches. Your tasks Develop and apply optimization and simulation