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Field
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well as collaborator data and publicly available data from an array of cities. As such, the postdoc should have strong experience working with large datasets, modeling ecological data, and maintaining national
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. Environmental Impact: Ability to analyze the environmental and climatic impacts of waste management systems. Personal and Organizational Qualities: Strong ability to model complex systems and propose optimal
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or fluency in python Excellent oral and written communication skills The ideal qualifications also include: Prior knowledge about land-atmosphere interactions, atmospheric dynamics, climate modeling, and/or
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(FNR) on ‘Rule of Law Principles - which model for the Global South?’ The project focusses on the transition of the People's Republic of Laos into a constitutional state based on the rule of law. The
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Post Doctoral Researcher in Human-Centered AI for Software Engineering, Department of Electrical ...
of responsible and human-centered AI in software engineering (AI4SE). The AI4SE1DK project addresses urgent industry needs by investigating how Large Language Models can be effectively, ethically, and sustainably
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modelling. The position is available from 1 November 2025 or as soon as possible thereafter in the research section Ruminant Nutrition . Position: The Department of Animal and Veterinary Sciences seeks a
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researcher for a 2-year, collaborative project funded by Minnesota’s LCCMR Program titled "Climate change and management effects on lake methane". The position will be based at the University of Minnesota
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data management Knowledge of material flow analysis, life cycle assessment modeling, social-LCA, and/or life cycle cost modeling Concepts of circular economy, climate mitigation models, planetary
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Postdoctoral Researcher in Citizen Science & Societal Engagement for an Inclusive Energy Transition,
models for upscaling of the heat transition", and you will be primarily involved in the Work Package that focuses on "Effective and inclusive citizen engagement and support for scalable PED designs
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the fundamental aspects of transcriptional control, this project also opens new avenues for the design of climate-resilient crops. Supported by single-cell profiling and predictive artificial intelligence models