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Offer Information The final salary offer may be determined by several factors, including, but not limited to, the candidate’s qualifications, experience, and expertise, and availability of department
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
mathematics Researcher Profile First Stage Researcher (R1) Positions Bachelor Positions Application Deadline 31 Mar 2026 - 23:59 (Europe/Lisbon) Country Portugal Type of Contract Not Applicable Job Status Not
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presents a challenge, especially in a highly non-linear case. The aim of this project is to advance further one of the methods to handle problems with propagating interfaces – the cut-finite-element method
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lecturer pool. We welcome applications from prospective temporary faculty with expertise or experience in the following areas: Statics and Dynamics Sophomore Applied Mathematics course in Linear Algebra and
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American University of Armenia Position ID: 3563-APPLIEDMATHEMATICS [#28140] Position Title: Position Type: Non tenure-track faculty Position Location: Yerevan, Yerevan, Armenia 0019, Armenia [map
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others, to design, analyze, and interpret complex datasets using advanced statistical tools, including (1) Generalized Linear Models, , (2) Hierarchical (multi-level) Modeling, (3) Individualized Dynamic
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Context IMT Atlantique, internationally recognised
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Linear Accelerator Center (SLAC). The FMS work environment is grounded by core values that include cultivating growth, celebration and appreciation, and collaborating with curiosity in order to nurture an
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a motivated postdoctoral researcher to join the AI
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their dynamics to be formulated as systems of linear ordinary differential equations. Bayesian Optimization and Reinforcement Learning methods will be employed to solve the inverse problem of shape and flexibility