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analysis, interpretation and administration of numerous and intricate regulations, policies and operations of Sociology Department. Oversee retention and various operations for enrolled graduate students
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, differential equations, probability and statistics, numerical analysis, optimization, and mathematical modeling), as well as mathematically intensive courses that support ACSE programs -Develop new courses and
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analysis of business practices, processes, and problems related to IT Facilities involvement in FP&D construction projects. Incumbent may develop solutions which may involve process design and policy
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 2 months ago
are for the following areas of investigation: Numerical analysis of helical piles under lateral loading – involving the investigation of the behaviour of helical piles through the back-analysis of physical tests
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. About This Role Develop, maintain, and document MEG preprocessing/analysis pipelines Integrate MEG-derived biomarkers with MRI-based measures for multimodal modeling and discovery Contribute
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. The successful candidate will contribute to the development of predictive numerical models and experimentally validated designs for intricate mechanical assemblies, deployable structures, compliant mechanisms, and
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sheath). Candidates with strengths in theoretical modeling, asymptotic analysis, or numerical simulations are also encouraged to apply. Required Minimum Qualifications: PhD in Mechanical Engineering
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a relevant numerate subject, for example, mathematics, operational research, statistics or economics. Ideally, you should have an emerging track record of peer-reviewed publications and research
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 2 months ago
for one of the following areas of investigation: Numerical analysis of helical piles under lateral loading – involving the investigation of the behaviour of helical piles through the back-analysis
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for a full-time, on-site PhD position in machine learning, forecasting and time series analysis. Reykjavik University, Department of Engineering. Duration: 3 years. Start date: Negotiable. Reykjavik