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Vacancies Postdoc position on Federated/Continual Learning for Time-Series IoT Data (TRUMAN Project) Key takeaways In this role, you will address the intricate challenge of enabling AI to learn
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context, specifically focusing on highly pathogenic human coronaviruses like SARS-CoV and MERS-CoV, and tick-borne Severe Fever with Thrombocytopenia Syndrome Virus (SFTSV). In this role, you will design
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efficiency, and long-term stability — while simultaneously gaining mechanistic insight at the molecular level. As a postdoc in this project, you will play a key role in designing and synthesizing molecular
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to make an impact on both a national and international scale, yet small enough to offer a personal and engaging learning experience. In this way, we contribute every day to a safer and more sustainable
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ScaleUA, an international Horizon Europe initiative strengthening Ukraine’s tech infrastructure and shaping innovation, strategy and governance across Europe. Radboud University invites applications for a
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small enough to offer a personal and engaging learning experience. In this way, we contribute every day to a safer and more sustainable world. Impact with law! For more information, please visit here
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duties Build a comprehensive DUV Raman spectral library for post-consumer plastics, incl. rare and complex polymers Design and validate deep learning algorithms for real-time classification at high
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, of course, we offer a good pension plan. We also give you plenty of room and responsibility to develop your talents and realise your ambitions. Therefore, we provide various training and development
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outcomes under different market design scenarios. The research will combine machine learning, stochastic optimization, and agent-based modelling with behavioural experiments. Case studies from emerging
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extensive knowledge on zooplankton imaging techniques ability to program and train machine learning models for automated image classification experience with shipborne campaigns and ready to join multi-week