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will be involved in developing a new service for circular information management for construction elements and reality capture in existing buildings using computer vision and machine learning. It
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, machine learning, modeling, and custom hardware, we test our solutions in various real-world projects with industry. Project background We foster a culture of continuous improvement, transparency, and no BS
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management processes Excellent computer proficiency, including document control Bachelor’s degree (or equivalent) in science, engineering or related field Ability to communicate in more than one language Your
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(ETH Zurich, EPFL, etc.) Valid working permit in Switzerland Strong experience in Android Studio and Java Computer systems and network understanding (Linux-based systems) Knowledge of data management
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to standardize the measurement of biodiversity at global scale. SEED integrates diverse data sources and makes use of the latest machine learning models for biodiversity analysis. Job description Your
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and an end-to-end digital workflow for products manufactured using additive and advanced manufacturing technologies. A special focus will be the integration of data-driven design and machine learning
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sequences Have experience with computer simulations and programming Your workplace Your workplace We offer ETH offers an exciting opportunity to work at the forefront of scientific research. Collaborations
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100%, Zurich, permanent The Institute of Computing Platforms of the Department of Computer Science is a research group focused on computer systems and software systems in general. Currently
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, real-time and/or machine learning applications. Working experience in a clinical environment or a medical company. Interest in Neuroscience, brain networks and neurorehabilitation. Excellent
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on responsibility, work independently, and have strong planning skills You enjoy contact with different stakeholders and put their needs at the centre of your work Your solid computer skills (MS Office, SAP, etc