96 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "University of Waterloo" positions in Luxembourg
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wireless communications systems. For details, you may refer to the following: https://wwwen.uni.lu/snt/research/sigcom The successful candidate is expected to perform the following tasks: Design, analyse and
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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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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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graphs and related structures, limit theorems, stochastic calculus and applications, for example in machine learning and mathematical statistics Participation in the scientific activities of the department
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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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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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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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technologies that have a positive impact on society. For further details, please visit our website: https://www.uni.lu/snt-en/research-groups/finatrax/ We’re looking for people driven by excellence, excited
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our website: https://www.list.lu/ How will you contribute? This is a PhD project to investigate the role of evaporation during small rainfall events on forest function. Low-volume water pathways in