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commitment to an affordable and secure energy future. Spanning foundational science to applied systems engineering and analysis, we focus on solving complex challenges to deliver advanced, secure, reliable
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University of Potsdam, Faculty of Economics and Social Sciences | Potsdam, Brandenburg | Germany | 14 days ago
of their member states. The project employs a mixed-methods research design that combines statistical analyses, automated text analysis, case studies, and survey experiments. The Scope of Your Responsibilities
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experiments assessing zooplankton–cyanobacteria interactions., Learn to prepare samples for mass spectrometry analysis, Bioactivity guided fractionation and isolation of the cyanopeptides Collaborate with
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implementation of the sensor network in strategic tourist locations • Identification and analysis of installation locations based on historical congestion patterns. • LoRa coverage planning, including
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to establish a robust, data-driven framework for identifying which vortex-state particles reliably record the Earth’s magnetic field. The development of the MERRILL extension will be done in collaboration with
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contractual arrangements between the NASA and Commonwealth Scientific Industrial Research Organisation (CSIRO). For more information on CDSCC, please visit: http://www.cdscc.nasa.gov The opportunity
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. Required Experience No minimum experience required. Preferred Experience N/A Equipment Knowledge of statistical concepts and methods and their application to research analysis, of measurement, testing, and
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at the University of Chicago, to provide a statistical research environment that would lead to advances in the design and analysis of investigations in a wide variety of areas in the health sciences. The Center has
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) (Dr. Simpson’s webpage). The original call for the solicitation can be found here: https://www.energy.ca.gov/solicitations/2025-02/gfo-24-307-advancing-designs-and-analysis-high-voltage-direct-current
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Development & Transformation Develop SQL-based transformations in Snowflake, DBT, or similar tools to prepare clean, reliable, analytics-ready datasets. Create reusable data models (views, marts, semantic