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PhD at the Forefront of Computational Solid Mechanics and Machine Learning School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Dr J L Curiel Sosa Application
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How can societal learning for the green transition be anchored in everyday life and translated into strategic planning and urban governance practices? This PhD position offers the opportunity
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École nationale des ponts et chaussées | Champs sur Marne, le de France | France | about 1 month ago
of the ERC Consolidator project AUTOMATIX (see details below), we are seeking a PhD candidate to develop machine learning approaches for constitutive modeling. Context With the advent of machine-learning (ML
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Application documents: 1) Brief cover letter, explaining your motivation for applying, 2) Detailed curriculum vitae (including your email address), 3) Complete transcript of grades from all your university-level studies. We do not ask for more information/documents at this point (but you can...
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This is a unified application form for all positions in the Beyesian Deep Learning group at KAUST led by Prof Maurizio Filippone, including Research Intern MS/PhD Student PhD Student Postdoctoral
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The Department of Computer Science at The Technical Faculty of IT and Design invites applications for PhD stipends on one of the topics of Digital Twins and Hierarchical Multi-Agent Safe
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fully capture the complexity. This PhD project asks: How can time–activity patterns be classified automatically at scale, and how do microenvironmental characteristics shape individual exposure? Example
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to the community, required. Degree Requirements: Teach Undergraduate Courses: Masters; Graduate Courses: PhD Duties include: teaching undergraduate and/or graduate courses. Salary: Competitive. Contact: Warren
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the nominal length of study an attractive and good learning environment for PhD candidates The programme offers several courses and candidates from other programmes may apply for admission to the individual
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We are seeking a Research Associate to work on ALGeNeM, a project developing learning systems that integrate generative molecular design with automated experimentation for drug discovery. You will