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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 14 days ago
characterization data to predictions of mechanical behavior, damage evolution, and fatigue performance in these materials. Quantitative validation of these computational tools is of particular interest to support
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of the Principal Investigator, the Postdoctoral Associate will primarily investigate how long-term exposure to outdoor air pollution affects survival, health-related quality of life, fatigue, sleep, systemic
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integrates athletes’ subjective experiences (such as perceived exertion, motivation, enjoyment and fatigue) with objective physiological and biomechanical data. ASPIRE is a collaboration between the University
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initiation latency, movement speed, gait characteristics, postural control, motor variability, and other behavioural descriptors. ESSENTIAL REQUIREMENT PhD in machine learning, artificial intelligence
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of the position is the development and application of finite element methods for modelling static strength and fatigue behaviour, as well as design and optimization of complex structures. You will work
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opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in materials science & engineering, physics, chemistry, or a
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for conducting a wide variety of experimental tasks, including (but not limited to) mechanical testing (including fracture and fatigue), advanced materials characterisation (including SEM and EBSD), hydrogen
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, enjoyment and fatigue) with objective physiological and biomechanical data. ASPIRE is a collaboration between the University of Twente and Saarland University, funded under the DFG-NWO WEAVE programme. As a
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for internal and external release as well as represent the organization by giving technical presentations in large public forums. Basic Qualifications: A PhD degree in mechanical engineering, material science
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and fatigue) with objective physiological and biomechanical data. ASPIRE is a collaboration between the University of Twente and Saarland University, funded under the DFG-NWO WEAVE programme. As a