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development and engineering work for NLP (Natural Language Processing) products under AI Singapore. To complement the current NLP Hub team, we intend to hire an experienced NLP engineer with expertise in
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that the Department of Computer Science is a vibrant and progressive place to undertake research. The successful candidate will join the Natural Language Processing (NLP) group, one of the largest (approximately 30 PhD
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application design phase. Funding category: Contrat doctoral PHD title: Doctorat en Informatique PHD Country: France Requirements Specific Requirements Master degree in Computer Science Major Knowledge
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interdisciplinary collaborations within Responsible AI A PhD degree within a technical field of AI, e.g. computer vision or NLP Proven-records in peer-reviewed publications within technical AI Strong English
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to collaborate with our industrial partners and submit publications to top-tier conferences and journals in NLP and AI. Candidates will have completed a PhD (or be close to completion) in a relevant field such as
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advances in NLP research from a friendly and supportive supervisor ● A diverse and international department comprising many areas of expertise, with particular excellence in NLP. A vibrant PhD community in
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Language Processing, unstructured data modeling, and knowledge representation. The IHI is an institution-wide Institute with 21 core faculty, 65 affiliate faculty, 3 graduate (MS, MHI and PhD) programs with 80
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of this project is to develop automated means to continuously monitor the performance of AI models (including NLP models) developed by BGL BNP Paribas and to determine when and how to retrain these models in order
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veteran status. Required Degree Doctorate Minimum Requirements PhD in NLP/AI/ML; Experience in designing deep learning models and relevant publication record; Communication skills and team work. Desired
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Université Gustave Eiffel - Site de Versailles | Versailles, le de France | France | about 2 months ago
] for vehicle braking systems and [3] for the photovoltaic panels control). Some few results have appeared in these last decades for the adaptive control of nonlinearly parameterized (NLP) systems notably