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build the sustainable companies and societies of the future. Operation and maintenance is a rapidly growing research area, as it is recognized as an important enabler for the business performance by
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artificial intelligence (AI) technologies, based on hardware inspired by the structure and function of the brain for superior energy and latency performance in embedded and human-centric applications. We offer
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introduces new and underexplored vulnerabilities to network-based threats. The goal of this research is to uncover such threats, evaluate their impact on training performance and model integrity, and develop
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their performance and support sustainable electrode processing. As part of this collaborative project, you will work in a multidisciplinary setting and engage with international researchers. Who we are looking
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balance among antenna performance, cost, and sustainablity. In this respect, 3D all metal antennas offer potentially many benefits over their planar counterparts, such as efficiency, wider band and scan
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part of the research area "Digestion Processes" within the Biogas Solutions Research Center (BSRC) hosted by LiU. The activities of the PhD position will be performed through close collaboration with
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Team up with up to 3 fellow Ph.D. students in the DSP-assisted Wideband & Efficient Transceivers (SWEET) project which is part of the WiTECH center to perform cutting-edge multi-disciplinary
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NEST project RAM³, which aims to enable the use of recycled aluminium in high-performance applications through machine learning, computer vision, and materials science. The focus of this position is on
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applications supporting AR/VR/XR in the context of climate change and sustainability. Duties As a PhD student you are expected to perform both experimental and theoretical work within your research studies as
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applications supporting AR/VR/XR in the context of climate change and sustainability. Duties As a PhD student you are expected to perform both experimental and theoretical work within your research studies as