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Field
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hours per week to support ongoing research in Distributed Acoustic Sensing (DAS). DAS is an innovative technology that utilizes existing optical fiber networks to measure ground motion with high spatial
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closely with all lab members and report directly to the principal investigator. Responsibilities include: Collaborate on ongoing research projects. Follow instructions and standard operating procedures
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the research program and Research Coordinator on a regular basis Supervision Given Responsible for training and supervising measurement staff/students for data collection purposes Responsible for contributing
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Description The Cologne Graduate School of Ageing Research (CGA) in Germany is a joint venture of the University of Cologne Excellence Cluster on Stress Responses in Aging-Associated Diseases (CECAD
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at the Hampton Roads AREC, located in Virginia Beach, Virginia. Some of the duties and responsibilities for this position are: 1) Field assistance. Assist in all phases of field, greenhouse and laboratory work and
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wellbeing through ground-breaking research and innovative teaching. You can learn more about Adelaide University HERE and more information will be provided throughout the recruitment process. Your
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. Summary of Responsibilities In addition to working on the Quill Project, Wood Student Research Assistants will: Assist with CCS events, projects, and programs, including conferences, symposia, lectures
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Health Alliance (CCHA; Advocate Children’s Hospital, and NorthShore University Health System). CCHA has responsibility for the care of almost 1 million children. The Department has expanded its presence
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; Helping to convene and deliver national symposia on workplace wellbeing and resilience; Providing insight and analysis grounded in organisational psychology theory and methods. This role will form part of
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | 3 months ago
. Duties/Responsibilities Analysis (50%) Develop machine learning algorithms to analyze ground magnetic field perturbations Analyze the results using machine learning interpretability techniques