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one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative
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in higher education and research, in and outside academia. This PhD fellowship is part of the newly established AI Centre for the Empowerment of Human Learning (AI LEARN) .Six national research centers
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forming a strong multi-disciplinary and international professional network between PhD-students, researchers and industry. Read more: https://wasp-sweden.org/graduate-school/ As a PhD student, you devote
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, as well as satellite and sensor data, looking specifically at 6 different use cases across Europe. In addition to the detailed innovative analysis of existing methods and protocols, ITC will focus
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operational constraints and economic motivations across the value chain. To address these challenges, the project will develop multi-modal artificial intelligence methods to characterize metal scrap composition
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of the 2D nanomaterials and their complexes using ex vivo, in vitro and in vivo tissue models Execution of experiments using different core facilities across Univeristat Autònoma de Barcelona and ALBA
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refine multi-BCDI measurement protocols for imaging hybrid protein-mineral structures. (3) Collaborate with experts from ESRF, TUD, and Weizmann Institute, integrating findings into a geometric frustration
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work within the Norwegian R&D centre for Maritime Energy Transition (FME MarTrans) on climate change mitigation in the transport sector. The objective of the research is to identify mitigation strategies
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, communication and health. It relies mainly on two technological platforms: the Micro and Nano Fabrication Center (CMNF) and the Multi-Physical Characterization Platform (PCMP). Attached to the Acoustics and
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-scale and reliable use of AI across different industries. Your work assignments You will work at the intersection of machine learning, cybersecurity, and privacy, developing methods to make AI systems