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Field
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, specifically with Python-based engineering software development and hardware interfacing. Excellent oral and written English skills Demonstrated ability to independently conduct engineering projects Demonstrated
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numerical simulation of photonic neural networks (PNN) using Python, Photontorch, and/or SAX Assistance in the creation and verification of PIC layouts and specifications for the photonic neural processor
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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoctoral Scholar Opening in Indoor Air Quality Mission EPFL (École Polytechnique Fédérale de
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validating mechatronic systems. Experimental methods and testing Programming and software development, specifically with Python-based engineering software development and hardware interfacing. Excellent oral
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of AI approaches at different levels of the model chain, i.e. by implementing end-to-end learning frameworks that link data, forecasts, and operational decisions, while incorporating diverse contextual
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role: Development of server software for the control of different devices at PITZ using the DOOCS API Integration of applications into the accelerator control system Design and implement core operational
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, flow simulations, turbulence research, signal processing, lidar, AI applications, mathematics, and physicsSignificant prior experience using a scripting or programming language—ideally Python Goal
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• Expertise in using or supporting computational science and engineering, data analysis, and artificial intelligence applications and libraries in different HPC environments. • Demonstrated ability to support
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skills will make a difference. You’ll be working for a university that is internationally recognized for research and the work you do will make a difference in the lives of our students, faculty and staff
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on and adapt existing Python-based tools for the segmentation and analysis of compound eye structure (e.g. Currea et al. 2023, Comms Biol https://doi.org/10.1038/s42003-023-04575-x ), for application