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glaciers and their potential evolution under future climate scenarios, this project will 1) collect data on rock glacier erosion, 2) develop a model to study how debris-flow activity, and 3) apply this model
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intelligence are being used to improve supply chain management. We are looking for a PhD candidate motivated to develop their doctoral research within our group. The candidate will take responsibility
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and can be adjusted upon mutual agreement. Your career with impact: Become part of ETH Zurich, which not only supports your professional development, but also actively contributes to positive change in
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centered around the development of impact oriented, innovative approaches to inventory our forest resources, the development of decision support systems to manage our forests sustainably under risk and
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Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer
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design for fabrication. Job description You will lead the project’s work package around hardware and process development for HC3DP. Different nozzle designs and extrusion profiles can tremendously affect
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project aims to develop a comprehensive framework that integrates site-level data with industry-wide models to evaluate both current and future chemical production processes. Your work will involve setting
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techniques in VLBI. The primary objective is to develop and apply novel strategies based on AI/machine learning (ML) to enhance VLBI data analysis and simulation. Specific tasks include: Designing and training
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Measurement Units (IMU), Electromyography (EMG), and Electrooculography (EOG) for innovative input modeling. The primary goal is to develop robust methods for detecting, decoding, and interpreting user input in
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. Our group is developing a team led by Dr. Romain Jacob , focusing on sustainable networking . Today’s Internet, and more generally communication networks, are responsible for a large and quickly