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postdoctoral fellows, who will be interested in one of the following topics: 1) Theoretical condensed-matter physics 2) Quantum information processing 3) Strong light-matter interactions Requirements: PhD in
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experiment. The group is particularly interested in the detection of solar neutrinos, solar axions, and light dark matter. About the Position: The successful candidate will play a key role in the operation and
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for future colleagues in all fields of computer science, data science, artificial intelligence, machine learning, deep learning, computer vision, natural language processing, biocomputation, nerual networks
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unified framework that can understand and generate human-like text while simultaneously processing and analyzing medical images. The model will be trained on a diverse dataset of medical images and
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, separation, and catalysis, with a focus on carbon capture and conversion technologies. Artificial Intelligence: Leveraging AI and machine learning to optimize material design and catalysis processes. Carbon
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an integrative and life-long transformative process. RESPONSIBILITIES We are looking for future colleagues who can: Understand and have an entrepreneur and innovative mindset, in line with the ethos
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-design and deliver an enriching educational experience for students. They view education as an integrative and life-long transformative process. DESIRABLE RESARCH BACKGROUND AI for IoT: includes developing
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-tasking and establishing priorities and meeting deadlines with minimal direction. Knowledge of and experience in Quality Assurance processes including accreditation requirements of professional bodies, and
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of and experience in Quality Assurance processes including accreditation requirements of professional bodies, and understanding of approaches to quality enhancement. Strong computer skills, including a