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a Research Infrastructure? No Offer Description This position offers the chance to pursue independent research in natural language processing within an international and collaborative environment. It
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The Natural Language Processing Section at the Department of Computer Science invites applicants for a Postdoctoral Researcher in Natural Language Processing. Project Description The position
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will be part of a collaborative, interdisciplinary team of motivated data scientists, clinicians, and epidemiologists. Your main focus will be developing and validating Natural Language Processing (NLP
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, interdisciplinary team of motivated data scientists, clinicians, and epidemiologists. Your main focus will be developing and validating Natural Language Processing (NLP) models to extract clinically meaningful
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writing Supporting the group’s computing infrastructure, databases, and services Teaching activities in English and/or German Required skills and qualifications Doctoral degree/PhD with scientific focus
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Solutions to Climate Change: Developing a future Carbon Cycle with Synthetic Microbiology - To overcome the limitations of naturally evolved CO2 /CH4 -converting processes, we will leverage the methods
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and Language Technologies in Europe) which addresses several languages. Tasks of project coordination, programming and testing: 1. Research and development of natural language processing systems
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Qualifications PhD degree in computer science, data science, or related fields. Effective written and verbal communication skills Robust machine learning and natural language processing skills Proficient computer
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Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically LLMs. The candidate will apply their expertise to advance predictive
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 7 days ago
for extension based on mutual interest. We are looking for individuals with a strong theoretical and practical background in large language models, machine learning, and natural language processing, combined with