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About this role The Li-air battery represents a step-change in battery technology, with a theoretical energy up to ten times that of current lithium-ion cells. This role is part of an exciting
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administration and organisation. We are looking for a Postdoc in Atmospheric Transport Modelling 53 Faculty of Earth Sciences, Geography and Astronomy Job vacancy starting: 01.10.2026 | Working hours: 40.00
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CGIAR, including CIMMYT and National Agricultural Research Systems (NARES). In this role, you will develop an analytical decision-support tool that integrates quantitative genetic modelling, artificial
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, including CIMMYT and National Agricultural Research Systems (NARES). In this role, you will develop and evaluate innovative artificial intelligence approaches to support public plant breeding. Working with
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 23 hours ago
operate laboratory instrumentation. Experience with programming, automation, or developing macros to streamline and improve measurement workflows is desirable. Familiarity with computational modeling tools
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and improving lives. As a Postdoctoral Associate in the laboratory of Dr. Vadim Arshavsky at the Albert Eye Research Institute, you will join a world-class research environment dedicated to uncovering
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used in next-generation Earth System Models (ESMs). In addition to UXarray-focused responsibilities, the postdoc will contribute to active research in global atmospheric modeling and weather and climate
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architecture of entirely new foundation models, directly advancing the frontier of computational biology and machine learning. You will also implement parallel systems capable of training such models across
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for complex geological properties. Collection of geochemical and petrological reference data to train models is an equally important component of this task. The post will involve spectral, petrophysical, and
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systems. We work to elucidate how system structure mediates sustainability outcomes from management change or policy implementation. Our applied work consists of modeling and field-based collaborations with