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07.12.2022, Academic staff The institute for communications engineering offers a position for a doctoral or young postdoctoral candidate with the topic “Communication and coding in quantum networks
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accelerator physics and deep knowledge in RF technology, preferably x-band Experience with simulation codes, such es elegant, to model the beam dynamics Hands-on experience building accelerators Experience with
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/maintaining, isotope ratio mass spectrometers or similar Familiarity with software that can be used to process mass spectrometric data (R, MATLAB, Python), and some basic coding experience. Cooperation between
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and implementation of Retrieval-Augmented Generation (RAG) pipelines using automotive standards, technical documentation, software models, and source-code repositories Development of AI-supported
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performance on current and future exascale computing platforms. The successful candidate will be responsible for maintaining and advancing the ocean biogeochemical model code based on the HAMburg Ocean Carbon
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of CPU and GPU resources to maximize model performance, scalability, and portability. A particular focus of the position will be a dedicated project to prepare, optimize, and benchmark the code
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candidate will be responsible for maintaining and advancing the ocean biogeochemical model code based on the HAMburg Ocean Carbon Cycle model (HAMOCC), which is part of the ICON Earth system modeling
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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | 21 days ago
Job Code: 18/2026 Job Offer from September 07, 2026 The Max Planck Institute for Extraterrestrial Physics (MPE) in Garching (near Munich), Germany, is a world-leading institute for developing and
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response for the clusters: detection, containment, forensic support and post-incident review Automate operations and security policy as code (Ansible/IaC) Advice researchers on efficient, secure cluster
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be a dedicated project to prepare, optimize, and benchmark the code for deployment on heterogeneous CPU/GPU systems, ensuring efficient performance and supporting the transition to next-generation HPC