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quantum light sources coupled to quantum memories. Quantum memories are key components of optical quantum computers and scalable quantum networks: They are responsible for the central tasks of storing and
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career development activities including mentoring students and grant writing, and Participate in the Network Science Institute community by organizing talks, attending workshops, and contributing
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strives to strengthen networking within the department beyond the boundaries of the department and the university. Your future tasks: You will actively participate in research, teaching and administration
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Networks, and ICT Services & Applications. Your role The successful candidate will join the young, vibrant, and interdisciplinary FINATRAX Research Group, which builds bridges between business research and
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, diversity, and gender equality, supported through networking and mentoring activities. A friendly and inclusive working atmosphere, both within the research group and across Chalmers. About the research
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reasoning and for cognitive reappraisal. They will join the wider network of Turing AI fellows and the Alan Turing Institute , the national AI and Data Science institute in the UK. There will be
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. This position offers a unique opportunity to contribute to high-impact, interdisciplinary research at the intersection of network science, global research competitiveness, and generative AI capabilities
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infrastructure and lab facilities to conduct world-leading fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active
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; Synthesize data into high-quality scientific publications; Travel to fieldwork activities and meetings; Work in interdisciplinary teams; Engage with the scientific community, research partners and the wider
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CBS - Postdoctoral Position, Artificial Intelligence Applied to Metabolomics for Health Applications
disorders, and microbiome-related health issues by applying advanced AI/ML techniques for biomarker discovery and metabolic network modeling. Scientific Challenges Addressed in the Position: High