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for efficient manipulation and optimize biodegradability while maintaining robust robotic performance. Profile MSc background in Chemistry, Physics, Materials Science, Nanoscience & Nanotechnology, or related
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uncertainty, and translating our findings into policy and practice. Project background 85% of Europe's forests are managed with the aim to ensure ecosystem functioning and the continued provision of forest
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part, it is essential to optimize many material factors and printing parameters. The project investigates aspects like nozzle design, closed-loop feedback, optimal toolpath prediction and computational
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100%, Zurich, fixed-term The Traffic Engineering group (SVT) of the Institute for Transport Planning and Systems (IVT) at ETH Zurich intends to develop scalable optimization systems for operational
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. The position will typically last three to four years, including doctoral coursework. We offer an optimal working environment, opportunities for personal and professional development, and strong mentoring
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communication and ranging algorithms. Contribute to system-level performance optimization and experimental validation. Implement basic feedback control for robotics tasks. Profile Your background should be in
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funded, full-time, 4-year PhD position in Global History, starting 1 July 2025 (or at the earliest convenience of the successful candidate). This position is part of the Swiss National Science Foundation
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also exhibit robust thermal and mechanical stability at temperatures above 1000°C. Different aspects of the fabricated materials, as well as their overall performance, will be experimentally evaluated
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design new methods for producing hydrogen from water that are not only compatible with sustainable heat sources (e.g., concentrated solar radiation) but also scalable by volume. The performance
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experience with genomic data analysis on a high-performance computing cluster, along with strong communication skills, is desirable. Profile Research interest in statistical genomics, computational biology