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Field
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Language Model (LLM) and their use in Model-Driven Engineering (MDE) and software architecture Demonstrated proficiency in MDE, including expertise in modeling, meta-modeling, model transformations, and
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the criteria outlined below and provides an excellent training opportunity for a talented and ambitious scientist. The working ‘day to day’ language in the laboratory is English. Description of the project
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structured programming language, ideally python, and should have good experience in the analysis of photometric and spectroscopic data of exoplanet atmospheres. The projects will involve the use, modification
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in English (spoken and written); knowledge of a Nordic language is considered a merit Ability to work effectively in an international and interdisciplinary environment *The doctoral degree must have
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Language, Chinese (Cantonese, Mandarin and other variations), Arabic, Tagalog, Farsi, French, or/and Yoruba. Position Overview The research group of Professor Cui at the University of North Texas invites
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learning, deep learning, and large language models (LLMs), for the analysis of high-throughput multi-omics datasets (especially single-cell and spatial omics) and large textual corpora (e.g., scientific
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PhD degree in theoretical physics or related subjects. Eligibility: Candidates of all nationalities are welcome to apply. The working language is English. Duration: 2 year with possibility of extension
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degree in theoretical physics or related subjects. Eligibility: Candidates of all nationalities are welcome to apply. The working language is English. Duration: 2 year with possibility of extension
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processes and artificial intelligence and machine learning methods. The goal of Geophysicist.AI is to develop a scalable artificial intelligence ecosystem that integrates large language and physics-informed
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conferences and journals. Knowledge of the Dutch language is not required. Organisation Since its foundation in 1614, the University of Groningen has enjoyed an international reputation as a dynamic and