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. These methods will be applied to map global energy drought risks, using scenario databases of renewable energy installations from global integrated assessment models. The identified worst-case weather years will
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Fermilab, CMS Position ID: FNAL -CMS -LDR2026 [#30119] Position Title: Position Location: Batavia, Illinois 60510-5011, United States of America [map ] Subject Areas: High Energy Physics / BSM new
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, bibliographies, cartography, and remote sensing data, and analysing these in comparison with newly collected field data. Producing databases, reports, drawings, maps, and digital models of landscapes and
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, so extra shelf life, to economical advantages. Perform an end-to-end supply-chain assessment method to map tradeoffs for different cooling technologies for selected stakeholders to get a holistic view
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for the first time to map wealth trajectories over more extended periods of people’s lives. One objective of the project is to establish the intergenerational relationships between family background and wealth
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analyse large, multidimensional 4D STEM datasets. Develop or adapt software tools (e.g. Python, MATLAB) for image reconstruction, phase mapping, and quantitative analysis of ferroelectric domain wall
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public and cooperative governance arrangements. Together with legal, economic and social science -scholars in the project, you will therefore also map out current changes in the macro-environment. Together
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(Kingdom of the) [map ] Appl Deadline: 2025/06/30 11:59PM (posted 2025/06/11, listed until 2025/12/11) Position Description: Position Description Joint-PhD Position on Advancing Machine Learning Methods
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interventions to support families involved. However, many of these interventions are being conducted isolation and without robust evaluation (Bradshaw et al., 2021). The current project aims to map and
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to learn unfamiliar tools as needed (e.g. GitHub, APIs, new libraries). Familiarity with econometric techniques, especially panel data methods. Clear, concise written and verbal communication skills. Ability