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Multi-omics data integration and workflow improvement Development and application of machine learning-based algorithms for the identification of antibiotics-associated proteins and antimicrobial
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-pathogen interactions and feedback, using a combination of quantitative imaging, microfluidics, statistical analysis and machine learning tools. A specific focus will be put on discovering biophysical
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, combining Time-Sensitive Networking (TSN), Software-Defined Networking (SDN), and advanced machine learning approaches to ensure compliance with ISO/SAE 21434 and UNECE WP.29. Respnsibilities: Develop
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. The LCSB recruits talented scientists from various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work
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driving, in-car monitoring, industrial automation, and security surveillance. The research, called "R4DAR," aims to leverage emerging 4D imaging technology with Massive MIMO to create image-like radar
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Are you an established leader with a track record of conducting cutting-edge research in Computer Vision? Do you publish in top-tier Computer Vision and Machine Learning conferences? Do you have
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profile A PhD degree in Computer Science or a closely related field A research track record in AI, with openness to interdisciplinary collaborations Expertise in some area of AI such as machine learning
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: www.uni.lu/snt-en/research-groups/finatrax/ The candidate will be enrolled in the PhD program in Computer Science and Computer Engineering with specialisation in Information Systems. In the context of Prof
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profile A PhD degree in Computer Science or a closely related field A research track record in AI, with openness to interdisciplinary collaborations Expertise in some area of AI such as machine learning
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profile A PhD degree in Computer Science or a closely related field A research track record in AI, with openness to interdisciplinary collaborations Expertise in some area of AI such as machine learning