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application! Work assignments Our research projects focus on distributed sensing, hardware-efficient signal processing, robustness and resilience, and communication-efficient decentralized machine learning
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application! Work assignments Subject area: Computational studies of the influence of microstructural features on the structural integrity of metallic materials using machine learning Subject area description
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, research visits, and other activities to promote a strong multi-disciplinary and international network between PhD students, postdocs, researchers, and industry. Work assignments This position is primarily a
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shape the future of sustainable agriculture. Qualifications The applicant should have a PhD and strong scientific background in (electrical, mechanical) engineering, bioelectronics, physics, neuroscience
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, an ambitious nationwide program of seminars, courses, research visits, and other activities to promote a strong multi-disciplinary and international network between PhD students, postdocs, researchers, and
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and organic solar cell devices. There will also be the opportunity to gain hands-on research supervision experience through the mentoring of PhD students, as well as formulating research projects
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cell reactors. A post-doc takes an active part in shaping and correcting the research direction together with the supervisors. Various tasks assigned to the post-doc include continuous learning and
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, data-driven modeling, learning control, optimization, and sensor fusion. The division has extensive collaborations both with industry and other research groups around the world. The employment