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of the TBM (Tunnel Boring Machine) current technology to suit the new grout. Learning, deploying, and transferring a novel risk-based, probabilistic design approach Mastering and deploying a holistic design
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. Experience in artificial intelligence or machine learning approaches applied to materials research will be considered a plus. We regret to inform that only shortlisted candidates will be notified. Hiring
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to apply for a faculty or staff position using the Career worklet, please review this tip sheet . The Department of Civil and Architectural Engineering is seeking Part-Time Faculty to teach courses
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 17 days ago
data analysis methods to study biological memory circuits and their applications to machine learning. Building on recent work from the Fiete Lab, the role focuses on identifying principles of biological
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users, thanks to the use of machine learning tools and techno-economic analyses. This project is aligned with the sustainable development goals (SDG) 7 and 10 of the United Nations, by promoting a low
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hands-on learning, cutting-edge laboratories, and real-world projects combine to prepare graduates for impactful careers across engineering, technology, and the built environment. Our department also
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will be available to teach a required first-year legal research, analysis, and writing course and may teach upper-level legal research or technology courses. The librarian will also provide reference and
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engineering? Then this professor position might be for you. We are looking for a new professor to lead research in probabilistic machine learning, with a focus on areas such as deep generative models, Bayesian
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team members. Learn more at: https://hr.duke.edu/benefits/ Equal Opportunity Employer: Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard
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14 Mar 2026 Job Information Organisation/Company Università degli studi di Ferrara Research Field Engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage