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temporal scales from seconds to hours and beyond. The aim of this PhD project is to build a multi-scale model linking molecular renewal to functional properties of synapses to study the relationship between
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of data scientists, software engineers, and experimental researchers on topics including: Developing multi-scale and multi-modal representation learning methods for scientific imaging data (e.g., SEM
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, public authorities in their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? You will develop a multi
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develops predictive, multi-scale computational frameworks to guide sustainable microbial food production. By coupling data science with mechanistic models, this collaboration between universities, research
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silicon carbide (SiC) technologies — are critical enablers of HVDC transmission, renewable integration, transport electrification, and large-scale industrial power conversion. Advancing these technologies
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the properties of composite, biological networks which consist of stiff filaments and liquid inclusions which arise from liquid-liquid phase separation. We will use a multi-scale approach bridging scales from
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more cost-efficient. Together, UESL and IMOS are seeking a motivated and qualified PhD candidate to advance the use of hierarchical graph neural networks for modeling multi-scale urban energy systems. By
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center, please visit http://csiss.gmu.edu/. George Mason University College of Science (Mason Science) is committed to advancing inclusive excellence and fostering an environment free from discrimination
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leading cutting edge investigations on multi-physics and multi-scale mechanics of geomaterials. Work Location(s) Number of offers available1Company/InstituteEcole Centrale de NantesCountryFranceGeofield
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-scale open-source AI software projects, such as ASReview. Engage in interdisciplinary and transdisciplinary activities, including citizen science and co-design initiatives. Where to apply Website https