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methods in forestry generate vast quantities of data and demand more accurate information. Machine learning allows for the systematization and processing of this data into new forms of information
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Temporary contract | 14 months | Belvaux Are you passionate about research? So are we! Come and join us The Luxembourg Institute of Science and Technology (LIST) is a Research and Technology
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Imagine a world where food production is in harmony with natural processes, farmers nurture healthy soils, and biodiversity thrives. In contrast, current monoculture farming systems undermine
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accurate information. Machine learning allows for the systematization and processing of this data into new forms of information to support the management of forest resources and ecosystems. The PhD candidate
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on the list will be determined by the score they achieved during the recruitment process. In accordance with the provisions of the agreement of the Governing Council of 27 January 2022, which approves
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, • in-depth knowledge of machine vision principles and image processing, • programming experience, preferably in Python, • practical experience with the design and testing of simple electronic circuits
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rapidly evolving retrieval paradigm where generative models are used to directly generate document identifiers given a user query. This paradigm departs from traditional multi-stage retrieval pipelines and
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degrees List of courses with corresponding grades Contact details of 2 persons who agreed to give references Early application is highly encouraged, as the applications will be processed upon reception
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given a user query. This paradigm departs from traditional multi-stage retrieval pipelines and instead integrates the indexing and retrieval process into a single, end-to-end generative model. As such
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, molecular biology, or related disciplines FELASA certification Experience with or highly interested in experimental immunology (e.g. in vivo models, flow cytometry, imaging) Motivation to learn and apply