123 machine-learning "https:" "https:" "https:" "https:" "https:" "Cardiff University" positions in Luxembourg
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We are looking for a highly motivated PhD candidate interested in AI-based methods, including machine learning and language technologies, for the integration and analysis of clinical, advanced data
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of the PhD will be the derivation of multilayered approaches for motion planning and control based on the XS-Graphs, where both model-based and learning-based solutions are foreseen. This includes
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3GPP compliant 5G/6G NR NTN OFDM waveforms Develop and analyse signal processing and/or machine learning algorithms for joint channel, delay, Doppler and carrier phase estimation, remote object ranging
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We seek a highly motivated AI scientist, biostatistician or computational biologist who is well versed in the statistical and machine learning analysis of biomedical data and bioscientific
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on neurodegenerative processes and are especially interested in Alzheimer’s and Parkinson’s disease and their contributing factors. The LCSB recruits talented scientists from various disciplines: computer scientists
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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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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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bioinformatics for immunology research programs. You'll work at the cutting edge of AI-enhanced immunology, applying deep learning, foundation models, and advanced machine learning approaches to understand how
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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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Mathematics, or a related field A strong background in image/signal processing, particularly in computer vision. Strong programming skills and experience with at least one deep learning framework e.g