105 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at University of Luxembourg
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/admittance, force control Experience with Artificial Intelligence and deep learning concepts for robotics computer vision, tactile sensing, reinforcement learning Experience with robotic simulation tools e.g
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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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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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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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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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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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conducts research on the application and the impact of digital technologies like DLT/Blockchain, Digital Identities and Machine Learning/AI on organisations from both the private and public sectors
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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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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
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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