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the absolute forefront of observing and modeling two of Greenland’s largest glaciers -- Jakobshavn Isbræ and the Northeast Greenland Ice stream (NEGIS). You will use GNSS data on ice surface and bedrock
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(e.g., Kalman Filter) or Machine Learning models. These tools will be integrated with physics-based models of environmental loading (waves and wind) to enhance the accuracy and robustness
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. These tools will be integrated with physics-based models of environmental loading (waves and wind) to enhance the accuracy and robustness of the assessment. All components assembled together will finally inform
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Job Description We invite applications for a 3-year PhD scholarship at DTU Energy. The project will integrate innovative physics-based atomistic modeling methods and data-driven inverse molecular
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microbiological safety for high-impact societal and scientific outcomes. Responsibilities and qualifications Currently, food safety processes rely on conventional microbiological methods including culturing method
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material characterization, material flow analysis and material recycling. This PhD opportunity is part of the Marie Skłodowska-Curie Doctoral Network SCARPA , a European training network committed
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industrial processes. Your research will drive a paradigm shift in how TES systems are modelled, integrated, and controlled within industrial settings. You will develop novel, adaptive, physics-informed models
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with variable temperature operation (2-350 °C). Perform nanoscale measurements of buried currents and magnetization in solid-state batteries using scanning NV magnetometers. You will work in a team and
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that transform earth—currently disposed of in landfills at high environmental and economic cost—into high-performing and aesthetically pleasing structures. These innovative structures are characterized by a