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agents based on reinforcement learning with open-source LLMs or VLMs. Required skills include extensive experience with LLM post-training, including Supervised Fine-Tuning (SFT), Low-Rank Adaptation (LoRA
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means you will grow and learn, having the chance to participate actively in staff trainings and development projects based on your interests and needs. There is great freedom in your role, and we have a
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means you will grow and learn, having the chance to participate actively in staff trainings and development projects based on your interests and needs. There is great freedom in your role, and we have a
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research group. We are particularly targeting candidates whose interests and expertise intersect with the following project areas: Topic 1 - Perceptual Learning-based interventions focused on improving
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the most suitable data science techniques (e.g., machine learning, cluster analysis) to answer specific research questions based on available data. Running simulation studies and other pre-intervention
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emerging at the grid edge, providing essential services crucial to its reliable operation. Employing a diverse range of disciplines such as control theory, optimization, economics, game theory, data
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in candidates with interest in algorithms, blockchains and cryptocurrency, causal inference, game theory, learning, machine learning, market design, and networks, but all subjects at the intersection