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Max Planck Computing and Data Facility (MPCDF), Garching | Garching an der Alz, Bayern | Germany | about 1 month ago
, including tools for remote access, job scheduling, and performance profiling Proven experience in handling large-scale, multi-dimensional datasets Strong background in prototyping and optimizing ML/AI
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Karlsruher Institut für Technologie (KIT) | Karlsruhe, Baden W rttemberg | Germany | about 2 months 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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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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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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. Optimize 3D CAD designs for precision and parallel measurements. Evaluate the feasibility of integrating the probe system onto a robotic end-effector and design suitable mechanical and electrical interfaces
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management of factory operations. In the Virtual Product Creation business unit at Fraunhofer IPK, we develop innovative approaches for model-based systems engineering (MBSE). Our focus is on optimizing
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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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Your Job: Literature research and process understanding of higher alcohol synthesis Catalyst preparation, characterization, and performance testing Reaction parameter optimization (temperature
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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