94 programming-languages-"the"-"U"-"Humboldt-Stiftung-Foundation" positions in Switzerland
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80%-100%, Zurich, fixed-term The Chair of Sustainable Construction at ETH Zurich invites applications for a 4-year PhD position within the SNF-funded National Research Programme NRP81 project
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laser processing and to bring your ideas in AI/ML to the technology level. You have a solid background in programming (deep learning, reinforcement learning, etc.), electronics, high-speed data
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Information Technology, Statistics, Signal Processing, or Computer Science (or a related field). Also, strong software development and programming experience is a must. Fluency in the English language is highly
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highly supportive infrastructure, including state-of-the-art core facilities. Main tasks – Research: Establish a research program in the field of eukaryotic gene expression and/or functional genomics; use
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proteomics approaches for the analysis of post-translational modifications (e.g. phosphorylation, ubiquitination), or MS-based spatial proteomics. Basic programming skills and glycoproteomics experience
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Python-based agent pipelines (e.g., LangGraph) and integrate diverse large language models (LLMs) and multimodal vision models. Additionally, you'll build and maintain data flows specifically tailored
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of the staff, efficient use of the budget, timely delivery of research, innovation, and entrepreneurship programs. The Managing Director will actively participate in research and lead excellent outreach within
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such data; hands-on experience in scaling up and/or parallelizing codes on HPC systems using languages such as e.g., C/C++, Fortran, Python; solid knowledge of parallel programming models (e.g., MPI, OpenMP
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safety and encouraging others to do the same; respecting safety rules and procedures Promoting synergy and cooperation between the various parts of the Organization. Language skills: Ability to draw-up
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practical programming experience. German language skills are a plus, as the retrieved documents will be written in German. Experience with Large Language Models (LLMs) and/or RAG deployment, for example with