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Field
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collaborative work. Language skills Fluent in English (written and spoken). Knowledge of French, German, or Luxembourgish is considered an asset. Your LIST benefits An organization with a passion for impact and
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Independent problem-solving skills Excellent communication and language skills (English) Experience with collaborations and team-based work style As a formal qualification, you must hold a PhD degree (or
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potential at the international level Independent problem-solving skills Excellent communication and language skills (English) Experience with collaborations and team-based work style As a formal qualification
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analysis, work with large language models, network analysis, causal inference in machine learning and agent-based modelling. Experience in collecting, curating and analyzing large digital datasets with
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strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People , women , people living with a disability , people from culturally and linguistically diverse
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for decarbonization strategies o Fluency in task automation, data cleaning and analysis in a programming language, with a preference for Python and/or R o Strong organizational skills and exceptional attention
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language is beneficial. As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a leading technical university globally recognized for the excellence of its research, education
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discrimination in all its operations. We welcome applicants from a variety of genders, linguistic and cultural backgrounds, and minorities. Please submit your application, together with the required attachments
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
, designing tools for data interpretation and visualization, and/or training foundation models and large language models (LLMs) for diverse biomedical applications. Dr. Li has published over 70 peer-reviewed
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of interest in this area include, but are not limited to: natural language processing, large language models, graph learning, general pre-trained transformers, prompt engineering, knowledge graphs, knowledge