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The junior group in Imaging AI develops applied AI research focused on biomedical signal analysis and medical image computing. The general aim of the group is translating bleeding edge algorithms from fundamental AI and imaging research closer to a concrete biomedical application. We are looking...
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://www.lmo.space/ ). The successful candidate will join the Computer Vision, machine Intelligence and Imaging (CVI2 ) research group headed by Prof. Djamila Aouada to pursue a PhD in the area of Domain Adaptation
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: Conducting research on perception and situation understanding, making contributions to the state-of-the-art in the fields of simultaneous localization and mapping (SLAM), computer vision, machine learning
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seek a highly motivated bioinformatician or biostatistician who is well versed in the statistical and machine learning analysis of biomedical data and bioscientific programming for a project on the study
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. Here's what awaits you at SnT A stimulating learning environment. Here post-docs and professors outnumber PhD students. That translates into access and close collaborations with some of the brightest ICT
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an advantage Commitment, team working, a critical mind, and motivation are skills that are more than welcome Optional: knowledge of machine learning, metaheuristics, statistics, and text analysis
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may help to mitigate and prepare for such space weather events. Recently, the use of machine learning for improved space weather forecasting has gained in importance. The Luxembourg-based company
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sampling, metaheuristics, simulations, prediction models (machine learning). The results of the project are expected to apply to multiple use cases across different domains, e.g., automotive systems, space
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, metaheuristics, simulations, prediction models (machine learning). The results of the project are expected to apply to multiple use cases across different domains, e.g., automotive systems, space systems, smart
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personal project, to allow him/her to acquire a deep understanding of her/his subject. Second, the network-wide training will be offered by the consortium during the whole project life cycle through 4