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partners from KU Leuven, Belgium Design, commission and optimize beam-manipulation devices for optimal ion injection into the Penning trap Integrate the laser-cooling trap with the JYFLTRAP Penning-trap mass
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reproductive health and mechanistic toxicology Basic understanding of experimental design, data handling and statistics Interest in learning computational/data-oriented approaches, such as literature curation
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their professional networks. The partner company for this position is Vossloh Switch Systems, a global railway infrastructure company specializing in design, manufacture, installation, and maintenance of switches and
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inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community. The School of Engineering drives science and innovation in industrial and built environment
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on health data as well as training AI models on health data across national borders. Key responsibilities Design, implement and benchmark machine learning models for large-scale health datasets consisting
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of Engineering drives science and innovation in industrial and built environment technologies. We are committed to educating a new generation of experts who combine technical excellence with a deep understanding
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models and AI solutions relies heavily on the quality of underlying model assumptions and the learning algorithms they employ. The design of loss functions is therefore crucial in the process of model
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of statistical models and AI solutions relies heavily on the quality of underlying model assumptions and the learning algorithms they employ. The design of loss functions is therefore crucial in the process of
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. This is why we warmly encourage qualified candidates from all backgrounds to join our community. The School of Engineering drives science and innovation in industrial and built environment technologies. We
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to mathematical foundations of machine learning. You will be part of the Computer Vision and Pattern Recognition Laboratory at the LUT School of Engineering Science. The lab includes approximately 15 researchers