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- Tsung-Dao Lee Institute
- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
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- UNIVERSITY OF NOTTINGHAM NINGBO CHINA
- ; Xi'an Jiaotong - Liverpool University
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responsibilities include: To take the lead on, plan, develop and conduct individual and/or collaborative research objectives, projects and proposals either as an individual or as part of a broader programme. To
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campus communities and to all entrepreneurial collaboration partners associated with XJTLU, thereby repositioning itself as a global leader in the field. Objectives: Equip students with professional skills
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objectives and resource planning. To work with the Dean and Deputy Deans for Learning and Teaching of their School to ensure that teaching programmes maximise the market opportunity for presenting
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are searching for a candidate in the area of High-Energy Particle Physics and Cosmology. People who have some backgrounds in gravitational waves, ultra-light dark matter detection from astrophysical observations
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: • Precision measurement of oscillation parameters and mass ordering through the analysis of reactor neutrinos • First detection of diffuse supernova neutrino background • Supernova burst neutrinos in the multi
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operational objectives. Keep up-to-date with changes and developments in related policies and procedures. Reflect on personal professional practice and keep abreast of current developments in learning and
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of the publicised closing date. If this does happen, we will email all candidates who have started but not yet completed their application, giving 48 hours’ notice. We would therefore advise that you submit your
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experiments in China and internationally IOPP hosts: • Key Laboratory for Quark and Lepton Physics (Ministry of Education, MOE) • Joint Center for International Collaboration on Quark Matter and Detection
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objectives and resource planning. To work with the Executive Dean and Director for Learning and Teaching to ensure that teaching programmes maximise the market opportunity for presenting their discipline or
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robots to achieve common objectives in dynamic and prior-unknown environments, including kinodynamic-constrained motion planning, dynamic and kinematic decoupling and transfer/deep learning-based motion