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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 6 days ago
Job Code: MPIDS-W088 Job Offer from August 20, 2025 The Max Planck Institute for Dynamics and Self-Organization (MPI-DS) at Göttingen, Germany, is an international, interdisciplinary and
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, United States of America [map ] Subject Area: Computational Fluid Dynamics and Wave Propagation Appl Deadline: 2025/09/01 11:59PM (posted 2025/08/04, listed until 2025/12/19) Position Description: Apply
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dynamic, interdisciplinary, and international research community at the TUM Garching campus. TUM’s Department of Mathematics is part of the TUM School of Computation, Information and Technology (CIT
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23 Aug 2025 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Engineering » Industrial engineering Mathematics » Probability theory Mathematics
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University (OIST; see www.oist.jp ) is a dynamic new graduate university of science and technology in Okinawa Prefecture, Japan. The university is located on 85 hectares of protected forestland overlooking a
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, computational fluid dynamics and material science, dynamical systems, numerical analysis, stochastic problems and stochastic analysis, graph theory and applications, mathematical biology, financial mathematics
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should include: Curriculum Vitae List of publications Copies of diplomas Names of at least 2 potential references Early application is highly encouraged, as the applications will be processed upon
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, associations, NGOs … How to apply Applications should include: Curriculum Vitae List of publications Copies of diplomas Names of at least 2 potential references Early application is highly encouraged, as the
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 3 hours ago
Mathematics/Physics, or a closely related field. Required Qualifications, Competencies, and Experience Strong background in geophysical fluid dynamics, turbulence, or geophysical fluid mechanics. Experience
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mathematical frameworks for multimodal integration, advance video transformer architectures for temporal-spatial dynamics, and develop few-shot learning methodologies for ultra-low-resource scenarios with only