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motivated individual to develop Python tools for analyzing data from our holographic cloud particle imagers. Our research group studies the crucial role of clouds and aerosols in the climate system, aiming
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Master’s degree in Computer Science, AI, Machine Learning, Mathematics, Electrical Engineering, or a closely related field; or Master’s degree in Medicine (MD) with strong Python skills and some ML
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Hands-on experience with 3D reconstruction, multi-view geometry, or neural rendering Experience with appearance reconstruction, reflectance estimation, or material/BRDF modeling Proficiency in Python and
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.) Expected duration of Master Internship Requirements Linux and git usage and configuration Programming with scripting languages (e.g. Bash or Python) REST APIs familiarity Problem decomposition Good
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for world class research in the field of robotic fabrication in architecture and construction. Job description We are looking for a highly skilled software engineer to work on the development of python
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or Python). A good standard of written and spoken English as well as a driver’s license are mandatory. Good writing skills and the ability to work in an interdisciplinary environment are expected. Workplace
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computationally and developing scientific software. Experience in Python is highly recommended, additional knowledge of performance-oriented modeling frameworks, either based on Python (e.g., JAX, Pytorch) or other
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to the fields of architecture and engineering. We have developed an open-source python library called AIXD ( https://aixd.ethz.ch/docs/stable/ ) for ML-assisted forward and inverse design. In the framework
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. Implement high-performance C++ and Python modules for simulation, rendering, and data processing. Explore and integrate deep learning techniques into graphics and simulation pipelines (e.g., PyTorch, JAX
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(preferably Python), multiple years of programming experience as well as profound knowledge of professional computer-aided design and 3D modelling In addition, you have experience in CAD/CAM (preferably McNeel