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strong understanding of computer hardware or VLSI design. The selected candidates will contribute to the development of: A Physical-to-Electrical Abstraction and Modeling Engine A Circuit-Level Abstraction
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, the fusion community has started to develop fast surrogate models based on Machine Learning / AI models to speed up significantly the employed tools. Such tools have demonstrated to be generally applicable and
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of the following subjects: scalable data management, systems for machine learning, distributed and parallel systems, or cloud-based systems. We are especially interested in researchers who build working systems and
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supervision signals (e.g., labels in a downstream task or symbolic constraints). You will perform machine learning research, developing a framework for learning interpretable and robust concepts with
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to the fundamentals of spatiotemporal data science and machine learning using scripting languages. Supervise BSc and MSc thesis students conducting research in Geo-information Science. You will work here The research
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advanced techniques (such as digital beamforming or machine learning/Al techniques) supporting instrument operation and operative modes; onboard data compression; onboard data encryption; ASICs and devices
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. Integrate multiple data sources (non-invasive measurements, internal biomarkers, pathogen load) to create robust datasets for modelling. Develop mathematical and machine-learning models that predict clinical
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to the adaptation of the Environmental Noise Directive for these new technologies. Your main focus will be to develop machine learning-based drone noise models that will be able to generate an accoustic footprint
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prestigious ERC Consolidator Grant in a great interdisciplinary institute in Amsterdam. Join us! Are you passionate about machine learning, natural language processing and generative AI? We are seeking a
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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