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, Cold Atom Physics , Cold Atoms and Molecules , Cold QCD Group , collider physics , Collinear Fast Beam Laser Spectroscopy , Complex Quantum Systems , Computational Materials Sciences , Computational
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, Chemistry , Coherent Phenomena , Cold Atom Physics , Cold Atoms and Molecules , Cold QCD Group , collider physics , Collinear Fast Beam Laser Spectroscopy , Complex Quantum Systems , Computational Materials
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timely updates across various modules. Design and implement system procedures; mentor and train staff on system usage and process updates. Monitor regulatory changes and ensure strategic alignment
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | 5 days ago
years of clinical experience as a physical therapist is preferred. Oncology rehabilitation experience preferred. Certified Lymphedema Therapist (CLT) preferred. Demonstrated proficiency in complex
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or similarly large and complex organisation. Demonstrated experience in supporting project delivery and operational activities in complex environments, including project administration, communications
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the team, is required. We are looking for a competent, proactive personality with commitment and motivation, the ability to work independently, and enjoyment of teaching. As part of the application process
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Apply now Job no:502120 Work type:Full time Location:Hobart Categories:Administration Manage a complex and confidential workload with sound judgement, discretion, and autonomy in a dynamic, high
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Development and application of new methods for studying allosteric regulation in chaperone complexes
will focus on the theoretical study, development, and optimization of theoretical and applied approaches for the extraction of dynamic determinants fundamental to the function of complex systems and the
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systems. The role designs and delivers impactful training that improves efficiency, manages risk and supports compliance, working closely with process owners and change teams to embed best practice across
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the modelling, simulation and analysis of the large, complex and dynamic systems (e.g. cyber and physical systems). The PhD student will join the Sheffield Control and Power Systems (CAPS) Laboratory (https