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Field
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transdisciplinary action research team of 3 PhD researchers (VU Organizational Sciences/VU Athena Institute/WUR), one post doc (TU Delft TBM) and three senior researchers (HvA/HR). Your role will be to synthesize
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relationships between manufacturing intent, machine behavior, and part performance Optimization of manufacturing processes for improved throughput, reliability, and quality You will contribute to the development
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, reliability, multi-physics and multiscale simulation. Demonstrated publication record in high-quality international journals and conferences. Experience working in multidisciplinary and international research
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industry, we advance sustainable, reliable engineering systems in an inclusive and supportive environment. Our research group, the Robot Athletic Intelligence Lab (RAIL), focuses on legged robotics and
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. Experience with 5G or 6G transport, Xhaul, network slicing, SDN, or software-based network control. Familiarity with network modeling and simulation tools and with resilience and reliability metrics
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. Experience with 5G or 6G transport, Xhaul, network slicing, SDN, or software-based network control. Familiarity with network modeling and simulation tools and with resilience and reliability metrics
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approaches to ensure the production of high-quality and reliable data. You are up to date with technical developments in the field of analytical chemistry and bio-informatics and will integrate them in your
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
to grant proposals. Minimum Education and Experience Requirements PhD in biomedical field or related field of study. Required Qualifications, Competencies, and Experience The ability to work as part of a
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 22 hours ago
injection of water and/or nonaqueous fluids such as rich natural gas and carbon dioxide with or without additives such as surfactants. Improving oil recovery can promote affordable, reliable, and secure
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students. The required qualifications are: PhD degree in mathematics, science, engineering, or a related field by the start date. Extensive experience in one or more of the following areas: probabilistic