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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | about 7 hours ago
of EMS systems. Direct-field experience with local, state and federal EMS programs. Progressively graded medical control responsibilities for complex EMS systems with acquired proficiencies in fire-based
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systems and processes • Experience of managing training provision in a complex and devolved environment • Excellent knowledge of, or the ability to rapidly develop deep expertise in, complex financial
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BFTV’s most complex contracts and grants activities and serve as a primary resource advisor to faculty for pre and post award processes, research personnel, and financial planning. Works in a highly
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in Clinical Psychology with the Psychology Board of Australia. Current endorsement as a PsyBA Board Approved supervisor in the field of Clinical Psychology. Appointment to this position is subject to
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NIST only participates in the February and August reviews. Leader of the Flammability Reduction Group in NIST’s Fire Research Division is looking for reserchers intertested in conducting research
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accrual information and consent documentation for non-complex studies in clinical research management system. Records basic protocol information in clinical research management system. For studies with
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system enhancements for all HVAC system types. Troubleshoot and perform complex repairs using extensive Building Automation Systems (BAS) controls knowledge. Communicate with work order originators
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influence policy, systems design and operational controls across a complex and devolved organisation. You will lead and develop a specialist team, manage relationships with banks, card acquirers and payment
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and supervising professional staff in a complex organization. Strong fiscal planning and budget management experience. A data-informed approach to program assessment and continuous improvement
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management to improve the performance of the future wireless communication systems. Finally, due to the large-scale nature, complexity, and heterogeneity of 6G networks, for their analysis and optimization, we