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packaging and e-waste, while Exergy will develop the digital-twin and machine-learning tools that make the process adaptive and scalable. The research effort will be directed towards the selective recovery in
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, solvent-based recycling process for complex plastic waste streams such as multilayer packaging and e-waste, while Exergy will develop the digital-twin and machine-learning tools that make the process
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partner who focuses on the underlying machine learning models, and you will help coordinate the joint work across the two teams. The position offers a strong publication trajectory at leading HCI venues
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(adaptive) imaging strategies and reconstruction. The research combines ultrasound physics, signal processing, machine learning, computational imaging, and clinical translation. Beyond your individual
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We are seeking a postdoctoral researcher with a curiosity-driven record who works at the intersection of machine learning (ML) and the sounds of wildlife (“bioacoustics”). We are also happy
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contact: Prof. dr. Balazs Bodo E: [email protected] Where to apply Website https://www.academictransfer.com/en/jobs/362627/postdoc-trustworthy-digital-ide… Requirements Additional Information Website
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police. Publish and present your findings at relevant conferences and in scientific journals. Where to apply Website https://www.academictransfer.com/en/jobs/362916/postdoc-position-in-efficient-n
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-data interaction, and machine learning, making it a natural home for advancing data interaction in hybrid care. This specific position is in close collaboration with Catharina Hospital Eindhoven and
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the intersection of machine learning (ML) and the sounds of wildlife (“bioacoustics”). We are also happy to consider candidates in one of the two fields who can demonstrate a strong basis for working in this cross
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of scientists of the HMI group and the UMCG in Groningen. Where to apply Website https://www.academictransfer.com/en/jobs/362845/postdoc-position-on-monitoring-… Requirements Specific Requirements You are