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quantum networks” (TV-L E13) (f/m/x) for the project "6G and Quantum Technology (6GQT)", which is being funded by the Bavarian State Ministry of Economic Affairs, Regional Development and Energy. ). The
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: - Quantum computing with qudits, quantum error correction and fault-tolerance - Quantum optics of trapped ions and Rydberg atom arrays - Numerical tensor network techniques - Topological order and (de
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Postdoctoral Researcher as a Junior Research Group Leader (m/f/d) - Research on and Implementation o
/), and the LEAD Graduate School & Research Network (https://uni-tuebingen.de/en/research/core-research/lead-graduate-school-research-network/) - Contribute to the further development of the IWM
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-centred, interdisciplinary research. The group collaborates closely with the University of Cambridge and has strong links to international research and policy networks. You’ll benefit from: A highly
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research project at a challenging frontier of science Friendly and intellectually stimulating work environment Opportunity to shape your independent research profile Opportunity to extend your network
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research profile Friendly and intellectually stimulating work environment Opportunity to extend your network, locally and through generous funds for scientific travel Opportunity for professional development
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challenging frontier of science Friendly and intellectually stimulating work environment Opportunity to shape your independent research profile Opportunity to extend your network, locally and through generous
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Postdoc position: mechanisms of autoimmunity & autoinflammation in inborn errors of immunity (m/f/d)
advancement within the research community Member of the Excellence Cluster of ImmunoSensation2 with an interdisciplinary network of excellent scientists Excellent core facilities to support your research across
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support, and networking. Flexible working hours are offered; the workload is 38.5 hours per week for a full-time position. Remuneration is based on the Collective Agreement for the Public Sector
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The Network Analysis and Modelling group investigates how genetic variation shapes gene regulation, protein function, and, ultimately, observable plant traits. Using machine learning and network