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analysis, and material characterization. Special Instructions Interested applicants should submit their application materials, including a CV, cover letter, research statement, 2-3 relevant publications, and
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financial and environmental costs and benefits of these practices. We will utilize data collected in a large-scale experiment on commercial farms near Clarksdale, MS to conduct a systems-level analysis of
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London School of Hygiene & Tropical Medicine; | London, England | United Kingdom | about 13 hours ago
is a research project focusing on transforming urban food systems for planetary and population health. The postholders will conduct data analysis and prepare papers for publication using already
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analysis (e.g., RNA-seq analysis, public dataset mining, pathway analysis) is preferred. A strong collaborative mindset. Modes of Work Positions that are eligible for hybrid or mobile/remote work mode are
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reviews; (b) develop and conduct writing tasks and questionnaires; (c) assist in data coding and basic data analysis; (d) assist in managing the project; (e) assist in preparing progress/final
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analysis. Strong knowledge of HV and LV power systems and protection Experience with power system analysis tools Strong safety mindset and clear technical communication skills
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-grade codebases, including data pipelines and analysis workflows. Developing and deploying AI agents and large language model–based tools for tasks such as document processing, information extraction
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Signal Processing and Image Analysis group (DSB), Section for Machine Learning, at IFI. DSB has seven full-time and five adjunct positions and carries out research across image analysis and machine
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team members to ensure all project deliverables are met. Undertake these responsibilities in the project: Resistance Analysis: Conduct simulations to analyze wave interactions, buoyancy, and stability
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incorporate it into mathematical models of trait evolution across phylogenies. The work combines dimensionality reduction and geometric data analysis with the development of statistically rigorous comparative