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-Hope Team. This paid position involves working alongside our Relational Care Fellow to build out the Resilient-Hope Initiative—a framework designed to study, teach, and operationalize resilient-hope as a
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assistants. The fellow may also assist with occasional projects working with administrative data to inform operational decision-making and strategic planning within the law school. The ideal candidate will
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energy, carbon sequestration, and critical minerals. MMA’s streamlined environmental analyses cover over 30 federal regulations and help the bureau make timely and durable decisions at every stage
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) to produce interpretable, auditable decision outputs Experience with data visualisation and visualisation tools (e.g., MS Power BI, Tableau), including design and delivery of operational KPI dashboards
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agencies will broaden your understanding of interdisciplinary collaboration and public-sector science, while reinforcing ethical research practices and the role of science in natural resource decision-making
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 2 hours ago
Hours per week 40 Work Schedule 8 hours per day 40 hours per week Pay Rate Pay Rate varies Minimum Experience/Education The Postdoctoral appointee must have recently (within the last eight years) been
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that sustainability is a shared responsibility and integral to all roles within the College. By embedding sustainability into our daily operations and decision-making processes, we aim to create a positive impact on
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Join the forefront of groundbreaking research at City of Hope , where we are changing lives and making a meaningful impact in the fight against cancer, diabetes, and other life-threatening illnesses
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diversity, we’re always looking for talented people from all backgrounds to join us. Our people are our strength, and diversity enhances our creativity and leads to better decision-making and problem-solving
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portfolio that spans decision-support for pandemic response, social network modelling, equitable AI for clinical applications, and developing culturally-congruent LLMs to advance behavioural modelling in