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join our team and help shape the future of Earth observation in forest management. You will join FORM (the Professorship of Forest Resources Management) and the team that focuses on (1) the acquisition
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implementation, and providing practical, day-to-day assistance to teaching staff. If you have teaching experience, expertise in digital education, and enjoy working directly with faculty to improve teaching
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, electrical engineering and computer science to design highly efficient and sensitive imaging and inference approaches to help guide diagnosis and treatment in cardiovascular patients. Project background Our
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developer with a strong background in scientific computing who is eager to lead a development team, drive innovation, and explore commercial opportunities arising from our research. The position is linked
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tools. We predict chemical reactivity and molecular properties using machine learning, artificial intelligence, computational chemistry, and cheminformatics. Our ultimate goal is the computer-aided design
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create a meaningful impact. Our goal is to design, implement, and evaluate a cannabis-impaired driving detection and prevention system. Building upon previous studies that have been well-recognized
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informatics in rehabilitation, particularly in the development and implementation of digital solutions to support patient care, is advantageous, as is the ability to directly link scientific findings with
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metals), robotic fabrication, circular engineering, experimental methods, and topology optimization; Fluent in English (oral and written); Experience with computer aided design (CAD, e.g., AutoCad, Rhino
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-modal signal monitoring (including respiration). Your research could potentially be applied in sports and health. Project background Your research will aim to conceive and design innovative solutions
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among research groups Establishing mechanisms to gather input, needs, and feedback from community members Managing the ETH Zurich side of the Joint Doctoral Program on Learning Sciences (JDPLS ), and