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and phenotyping for sustainable crop production with the vision to transform crop production by optimizing breeding and farming management through developing and deploying new technologies. Within
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optimizing breeding and farming management through developing and deploying new technologies. Within Phenorob, we develop novel agrogeophysical methods to obtain noninvasive subsoil information that can be
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an emerging and promising class of materials, as the combination of multiple metals within a single nanostructure enables precise tuning and enhancement of their properties. However, mechanical stresses can
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outline their research plans to optimally extract cosmological information using one or multiple of these datasets. Priority will be given to candidates who can connect their science to SPHEREx, Simons
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research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which
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, probabilities, stochastic optimization solutions is an advantage. Excellent modelling skills and skills in scientific programming and/or numerical computing in languages like Python, Julia, or MATLAB
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into their conditions of formation. The mineral phases can indeed be used to trace significant geodynamic processes, such as orogenesis, rifting or subduction. In metallic materials, the development of multiple phases is
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We are seeking a highly motivated doctoral student to develop ship physics-integrated machine learning models for real-time prediction and optimization of wind-assisted ship propulsion systems
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and optimization of wind-assisted ship propulsion systems. The project integrates physical ship performance models with operational data and offers a unique opportunity to contribute to sustainable
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of the planet and people. Institutes bridge scholarship at Stanford and beyond, bringing multiple viewpoints to bear on urgent challenges. The Sustainability Accelerator serves as a launchpad for sustainability