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, scientific machine learning, and partial differential equations to create a new approach for data-driven analysis of fluid flows. The successful applicant will have experience in one or more of these subject
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participate in the creation of next-generation drug discovery platforms for AMD. The successful applicant should have research experience in at least two of (a) deep learning and AI methods; (b) causal search
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One Research Associate position exists in the data-driven mechanics Laboratory at the Department of Engineering. The role is to set up a machine learning framework to predict the plastic behaviour
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pathological conditions. A strong record of original peer-reviewed publications in this research area, collaboration, mentoring, and interpersonal skills is also required. Additional responsibilities may include
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tools. * Familiarity with tensorflow and/or pytorch. * Demonstrated ability to design and implement machine learning techniques and algorithms. * Demonstrated expertise in the Linux computing environment
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plasma physics and space weather forecasting. The RIB-Wind project aims to overcome key limitations in current heliospheric models, which typically rely on empirical assumptions to define inner boundary
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promotes a dynamic learning environment in which qualified individuals of differing perspectives, life experiences, and cultural backgrounds pursue academic goals with mutual respect and shared inquiry. EEO
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Deadline 1 Sep 2025 - 16:00 (Europe/Bucharest) Type of Contract Temporary Job Status Part-time Is the job funded through the EU Research Framework Programme? NextGenerationEU Is the Job related to staff
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cybersecurity research. Who you are: You have BS in machine learning, cybersecurity, statistics, or related discipline with ten (10) years of experience; OR MS in the same fields with eight (8) years
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will strive to continually excel as an innovative world-class university that makes a positive impact on society, living up to the University’s motto: “To learn and to apply, for the benefit of mankind