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in reputable conferences or journals Experience with network simulators such as OMNeT++ or ns-3 Experience with High Performance Computing (i.e., SLURM) Experience with Git Workplace Workplace We offer
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of interdisciplinary research, teaching, and innovation projects Drive the growth of the membership program, talent pipeline, and spin-off initiatives Manage internal teams and ensure the effective functioning
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Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description
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with ruminant nutrition, sustainability modeling, or precision agriculture is a plus. Proficiency in data handling, visualization, and high-performance computing (e.g., Python/R for analysis, cloud
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such software to high-performance and cloud computing infrastructures. Project background We are looking for a Data Science Expert with a strong background in GenAI technologies to join ETH's Scientific IT
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accurately measure external forces during operation. Understanding and accounting for these external forces is critical to achieving high stiffness by control, enhancing performance during milling and drilling
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bodies in both basic and applied research. Working independently or with other scientific staff to deploy simulation or algorithm pipelines on advanced computational infrastructure, such as High
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staff to deploy our simulation or algorithm pipelines on advanced computational infrastructure, such as High-Performance Computing systems. As many of the lab members actively contribute together
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of Ultrafast Magnetism and Nanomagnetic Materials. Project background Magnetic materials are important for several real-world applications including motors, actuators, sensors and computation. For example, heat
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(8068): p. 592-598. Wu, E., et al., A CMOS-Compatible Fabrication Approach for High-Performance Perovskite Photodetector Arrays. Advanced Optical Materials, 2025. 13(10): p. 2402979. Fabrizi, F., et al