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Field
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-organize, understand and model their surroundings, and autonomously generate efficient paths and formations while adapting to changing environmental conditions. The position also involves designing and
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choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 1 month ago
stronger and we’re united in fostering inclusivity in all aspects of our research to drive innovation and deliver solutions for an environmentally sustainable and prosperous energy future." In your
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September 2026 Reference: 0611-26 An exciting opportunity exists for a post-doctoral researcher to undertake research into probabilistic volcanic ash dispersion modelling. The successful candidate will
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 2 hours ago
to drive innovation and deliver solutions for an environmentally sustainable and prosperous energy future." In your application, show us who you are! To increase your chances of being selected
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that autonomously optimise EO systems tasking and data collection, using decision intelligence to make real-time decisions based on environmental signals and predictive models; contribute to the rapid prototyping and
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research project investigating how visual foundation models can efficiently acquire new expertise in specialised domains where labelled data is scarce. Recent foundation models have transformed computer
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, including extensive fieldwork, travel, heavy lifting, and working in extreme environments. Performs other duties as assigned. Required Qualifications: Ph.D. in soil science, microbiology, environmental
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engineering, robotics, building engineering, environmental engineering and industrial systems. The department conducts internationally recognised research focusing on future energy and industrial systems
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Specific Requirements you have a PhD degree in civil engineering, environmental sciences, geography, operational research or a related discipline you have demonstrable experience with quantitative modelling