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the postdoc will explore familiarity with KEMs and their institutional embedding with policy makers. Needs and preferences for KEM utilization and envisioned learning trajectories within municipalities will be
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. Learning Objectives: Under the guidance of a mentor, you will have opportunities to: Advance science communication skills through preparation of scientific manuscripts and presentation of research results
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 23 hours ago
. Examples include: determination of high-resolution shape models using shape-from-shading or novel machine-learning methods; studies of high-resolution shape models for geophysical and geological studies
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National Energy Technology Laboratory (NETL) | Albany, New York | United States | about 20 hours ago
, are considered. The participant will gain experience in multi-scale computational modeling and machine learning of mechanical behavior of high temperature alloys. They will be a part of interdisciplinary team and
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energy workforce. These projects will fall under the purview of RAMP. What will I be doing? As a participant, you will be guided by a mentor and learn how energy and infrastructure job creation and energy
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University Community We value the well-being of each of our employees and are dedicated to creating a healthy place for everyone to work, learn and live. In the interest of maintaining a safe and healthy
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for the overtime provisions of the FLSA. Minimum salary threshold must be met to maintain FLSA exemption. Visit The Office of Postdoctoral Affairs to learn more about our postdoctoral community. Resume/CV and cover
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of the four fields of nursing – adult, children, learning disability and mental health. We support our students to ensure they get the skills and knowledge they need to make a lasting impact on society. We also
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bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Reference no.: 6000 Explore and teach at the University of Vienna, where over 7,700 brilliant minds have found a unique balance of freedom and support. Join
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, comparative genomics, machine learning, and evolutionary analysis to address fundamental questions in molecular biology and human disease. Responsibilities Develop computational pipelines for the discovery