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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials
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) for Energy & Environmental Research and Applications. The researcher(s) will work with the principal investigator and team to develop, fine tune, and deploy LLM based tools for environmental engineering
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Brazil, to fill Postdoctoral Research Associate or more senior research positions. Although the call is open, scholars working on policy and public health, or on economic development in the region
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trade uncertainties on investments, etc.), develop stylized quantitative representations of political and institutional processes, and then incorporate them into (or couple with) global and subnational
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international politics of economic development; the political economy of human security; the evolution and impact of international institutions; and the politics of international law and human rights policies
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to them, the administrative and informational technologies enabling the development of property, and the religious and moral aspects of poverty and ownership. Intellectual, environmental, and economic
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to them, the administrative and informational technologies enabling the development of property, and the religious and moral aspects of poverty and ownership. Intellectual, environmental, and economic
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
association with NOAA's Geophysical Fluid Dynamics Laboratory (GFDL), seeks a postdoctoral or more senior research scientist to develop hybrid models for sea ice that combine coupled climate models and machine
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postdoctoral and PhD researchers on the team*Interest in developing and applying Large Language Models (LLM) and spatial Machine Learning (ML) modelsSalary and full employee benefits are offered in accordance
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research positions in the following fields:1. Microfluidic and Lab-on-Chip development in a multidisciplinary lab. Candidates should demonstrate track-records in microfluidics, Lab-on-Chip, and micro