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faults that affect their performance and energy consumption. Effective and timely fault detection is essential to maintain optimal operation and reduce downtime. In this context, the application
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such as organic precursors and tailored growth conditions designed to optimize material properties. Understanding these complexities requires a deep dive into the atomistic mechanisms at play, where
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for an in-house X-ray beamline for long-term operando investigation of chemical hydrogen storage reactors Modeling and simulation of the beamline to analyze and optimize system behavior before physical
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under the guidance of experienced engineers. You'll gain hands-on experience in RF ASIC design, simulation, layout, and verification of analog integrated circuits, focusing on optimizing circuits
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printer driver Cuttlefish which prepares data for 3D printing to achieve the optimal color reproduction. In addition, we develop data-driven design software to establish a digital process with additive
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evaluation, parameter updates, and likelihood computation. Optimize the implementation for high-dimensional datasets using PyTorch, with attention to numerical stability and efficiency. Develop unit tests and
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Gaussian Mixture Model (GMM) learning Contribute to implementation, optimization, and benchmarking tasks in GPU-accelerated environments Assist in preparing experimental results and documentation
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Karlsruher Institut für Technologie (KIT) | Karlsruhe, Baden W rttemberg | Germany | about 1 month ago
suitable for part-time employment. Starting date: 26.09.2025 Job description: Your responsibilities include the following tasks: Material development, optimization of manufacturing processes, and
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wide range of markets such as automotive, industrial and aerospace. As a working student, you will be responsible for the routing of analog nets on mixed-signal chips, focusing on optimizing the layout
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. Specifically, you will: Design, optimize, and operate inference and fine-tuning workflows for foundation models in EO Implement models on JAIF’s infrastructure and build reliable, reproducible data flows