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to industry and developments with Deep Learning (DL), Computer Vision (CV), Transformers, Large Language Models (LLMs), Natural Language Processing (NLP). Mandatory requirements • Bachelor's degree
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Modeling: Design, train, and validate generative machine learning models (GANs, VAEs, diffusion models, and LLM-based tabular synthesizers) to generate high-fidelity synthetic tabular, longitudinal, and
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developing new modeling strategies that can integrate heterogeneous public data into model development. Another major research interest is the use of large language model (LLM) techniques to generate highly
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: https://www.cu.edu/employee-services/benefits-wellness . Why work for the University? We have AMAZING benefits and offer exceptional amounts of holiday, vacation and sick leave! The University of Colorado
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the ACK project. Design, development and validation of RAG-LLM components. Validation of cognitive state in the RAG assistant. Validation of hybrid human-automated assessment. Apoyo en la investigación para
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Intelligence (DFKI), invites applications for a postdoctoral research position. The group develops foundation models, large language models (LLMs), and agentic AI systems for scientific discovery, engineering
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combinations that support the creation of innovative and sustainable food products. Another example is using large language model (LLM) tools to automatically extract and structure fragmented information from
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, persistent, and safe. Large language models (LLMs) are often adapted after training through fine-tuning, knowledge editing, and activation steering. While efficient, their effects are fragile. Interventions
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collaboration among partners.Research Conduct literature reviews. Support data collection and analysis. Develop and evaluate NLP algorithms and models. Relevant NLP tasks include: ASR, (local) LLMs, open-domain
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such as a CPA, CFP, J.D., AB, LLM, MBA, CSPG or AEP One or more years of experience in the field of gift planning Ability to communicate effectively, both orally and in writing A demonstrated working