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be made for special reasons). Experience in research on digital cultures. Proficiency in AI methods (e.g., NLP techniques, machine learning, and large language models, LLMs)—including web scraping
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techniques (e.g. explainable, ethical, empathic and agentic AI), natural language processing (NLP), large language models (LLMs), data science methods, and mHealth to analyze large-scale, multidimensional, and
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recently completed (or be close to completing) a PhD in Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically LLMs
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)-statistics, (applied) mathematics, or a related STEM field. Prior working experience with EHR data, machine learning, NLP, bioinformatics, and large language models (LLM) is preferred. In particular
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the European Research Council. You will develop and apply NLP methods (application and development of neural network–based models for tasks such as relation extraction, entity identification, classification, and
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., Hugging Face, PyTorch, Transformers). Ability to demonstrate rigour. Organisation. Appetite for multidisciplinary work. Teamwork and autonomy. PhD in computer science, AI, NLP, or other related fields
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scientific findings in top-tier AI/ML/NLP peer-reviewed conferences and journals in a timely fashion. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact
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stress, anxiety, depression, and loneliness, and how mental health vulnerabilities increase susceptibility to polarization. Leveraging network science, NLP, behavioral sensing, and causal inference
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understand, process, translate and generate SL efficiently. We invite applications for a postdoctoral researcher with a strong background in deep learning, unsupervised models, NLP and/or sign language
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rich theoretical and computational environment supported by the Multimodal Language Department. Requirements Essentials PhD (completed or near completion) in Computer Science, Computer Vision, NLP