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, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD degree in materials
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success. Basic Qualifications: PhD in energy engineering, mechanical engineering, electrical engineering, industrial engineering, or a related field completed within the last five years. A strong foundation
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of national standards for climate risk and adaptation metrics. Key Responsibilities Lead and assist with climate and health studies. Conduct gap analyses within the health sectors to identify measurement needs
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will be pivotal in advancing the state of the art in resilient infrastructure by developing more efficient and adaptive techniques that maintain robust performance guarantees while optimizing resource
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respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in mechanical engineering, industrial engineering, electrical engineering, environmental
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another, work together, and measure success. Basic Qualifications: A PhD in Geology, Chemistry, Geochemistry, Radiochemistry, Cosmochemistry, Biochemistry, or a related field completed within the last 5
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. The successful candidate will have significant experience in at least one of these areas. They must show a willingness to develop skills and to work with a team that includes post-doctoral staff, PhD and
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Postdoc in assessing carbon sequestration potential of different wetlands as nature-based solutio...
sequestration potential in diverse European contexts and provide insights into cost-effective wetland systems for ecosystem adaptation to climate extremes. We expect that you will be an important part of
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by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in physics or a related field completed within the last 5 years
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contribute to development of research grant applications. Your profile The applicants should hold a PhD in structural dynamics with focus on data-driven methods (e.g., for input/state/parameter estimation) and