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PhD Position - Operando X-ray Characterization of Catalytic Interfaces for Chemical Hydrogen Storage
present the work at domestic & international scientific events. Work closely with colleagues across IHE, Forschungszentrum Jülich, partner universities, and large-scale light source facilities. Your Profile
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: Advancing machine unlearning, privacy-preserving techniques, and robust data curation. AI Safety: Ensuring robust alignment and safety in multi-agent LLM systems Efficiency: Streamlining large-scale model
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increasingly popular in recent years. The recent introduction of OpenAI’s ChatGPT made large-scale models available to the public, which enables the integration of AI in everyday objects and tasks. As a result
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of large-scale biological datasets will be considered a strong advantage. Experience with CRISPR-based approaches or statistical programming in R or Python is desirable but not required. The application
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: Advancing machine unlearning, privacy-preserving techniques, and robust data curation. AI Safety: Ensuring robust alignment and safety in multi-agent LLM systems Efficiency: Streamlining large-scale model
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, processes and (mechanical) systems. ME is a dynamic and innovative faculty with high-tech lab facilities and international reach. It’s a large faculty but also versatile, so we can often make unique
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venues and workshops) together with the ability to design, run, and make sense of large-scale experiments on foundation models. Informal enquiries may be addressed to Fazl Barez at [email protected]
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14 Sep 2026 Job Information Organisation/Company University of Oslo Research Field Medical sciences Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 4 Oct
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), both locally and at international large-scale facilities. You are expected to perform high-quality research as part of a team, with the aim of disseminating resulting works through high impact peer
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applications. Develop scalable EMT simulation methodologies for large transmission systems. Investigate model reduction, dynamic equivalencing and network partitioning techniques. Develop parallel and high