125 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" positions in Luxembourg
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machine learning technologies in order to provide evidence-based decision support tools in near real time across a variety of thematic domains: disaster risk reduction, sustainable agri-food systems
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public sector actors, in particular Google Cloud Acquire competitive research funding through national and international funding bodies Take responsibility for all aspects of the research strategy
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their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? You’ll be working on the testing and development of LLM-based applications to solve software
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seeking a Maître-Assistant (Research Scientist; teaching position) in Teaching and Learning Languages in pre- and primary school to join its team. A special focus should be on Teaching Children’s and Youth
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harmonization, multi-omics integration as well as the development of machine-learning models for patient stratification and outcome prediction. Moreover, complex multi-layered datasets shall be integrated
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Are you passionate about cutting-edge research in Computer Vision and Artificial Intelligence? Our research group CVI2 - Computer Vision, Imaging and Machine Intelligence, headed by Prof. Djamila
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public sector actors, in particular Google Cloud Acquire competitive research funding through national and international funding bodies Take responsibility for all aspects of the research strategy
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satellite communications. Fields of applications range from 5G/6G telecommunications to satellite-based internet connectivity. For details, you may refer to the following: https://wwwen.uni.lu/snt/research
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and scientific data analysis. Where to apply Website https://www.lih.lu/en/job/?value=JA/RE0925/TB/NUTRI Requirements Research FieldBiological sciences » OtherEducation LevelMaster Degree or equivalent
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will be working in the Institute of Teaching and Learning, within the Department of Education and Social Work. The person will be part of a dynamic organisational context of a growing, globally connected