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team The CMAT Department offers a multi-disciplinary working environment, focused on micro-, nano-, and atomic scale engineering of compounds and materials. You will work in the Academy Research
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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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embedding of methodological guardrails (technology scale-up rates, carbon dioxide removal, CO2 storage, justice) into scenario parameterization and design across the modelling teams Contribute
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orientation with compositional design, the project will investigate how directional control over framework domains influences charge transport, optical response, and catalytic performance. Applications include
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) for the vehicles of tomorrow. Characterization of PCR and ELV plastic streams in terms of composition, impurities, and material variability Conducting and evaluating physical, chemical, and thermal material analyses
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related to clouds, radiation, and atmospheric circulation. Climate models are at the core of our research, in particular models that simulate global weather and climate at kilometer-scale resolution. We
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-scale resolution. We highly value collaboration, teaching and outreach. To learn more about our team, we invite you to visit our website: https://klimadynamik.univie.ac.at/ . Ready to be part of our team
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Investigation of charging strategies for multi-stakeholder systems considering technical, economic, and operational objectives Development and evaluation of Vehicle-to-Grid (V2G) and energy management concepts
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macrocyclization and cross-coupling reactions with control over molecular weight, regioregularity, and solubility Establish robust workflows, scaling up key intermediates and polymers Perform comprehensive