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, building, and iterating prototypes that take their real-world context seriously, including who uses them, under what conditions, and with what consequences. Working hands-on with large language models
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, such as model evaluation and data pipelines, and their applied forms, including training, fine-tuning, and deployment of models using frameworks such as PyTorch or TensorFlow. Solid proficiency in Python
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modeling Contribute to project planning, risk mitigation, publications, conference presentations and the dissemination of results Profile A PhD in experimental atomic, molecular or optical physics, physical
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Integrating cross-disciplinary research related to the storyline from several work packages, research groups and institutions of NCCR CLIM+, ranging from natural climate models to the analysis of impacts