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Field
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opportunity to be part of large-scale experiments tackling pressing societal challenges. You'll be involved in every stage of the research process—from experimental design to data analysis and publication—while
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
Geotechnical Engineering, Civil Engineering, or a related field, and should demonstrate strong expertise in at least two of the following areas: Large-deformation numerical modeling (e.g., Coupled Eulerian
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, single-cell spectroscopy, multicolour fluorescence and numerical modelling. This multidisciplinary approach will significantly advance our understanding about the resilience of coralline algae to projected
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a testbed of micromorphic numerical models, and metamaterials. Proposing experimental methods to obtain micromorphic models under small and large strain, with coupled uncertainty quantification
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Location: Esch sur Alzette/Belval, Luxembourg 4364, Luxembourg [map ] Subject Area: Mathematical Analysis Appl Deadline: 2025/07/01 11:59PM (posted 2025/04/03, listed until 2025/07/04) Position Description
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. Contact: Prof. Dr. Barbara Wohlmuth Email: Postal Mail: Boltzmannstrasse 3 85748 Garching Web Page: https://www.math.cit.tum.de/math/forschung/gruppen/numerical-analysis/ https://www.spp2311.de/research
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and implementation of data systems and analysis platforms with the platform development team (developers, data managers, scientists) Supporting strategic planning and integration of new data modalities
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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | 30 days ago
and motivated postdoctoral research fellow with expertise in numerical analysis, numerical scientific computing (including high performance scientific computing), and finite element numerical methods
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choose from several health coverage options offered by The Texas A&M University System for themselves and their families, as well as numerous other benefit programs. https://www.tamus.edu/business/benefits
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to apply. The position will be under the direction of Professor Anthony Yeates and will primarily involve optimisation of a numerical magnetic field model for the global solar magnetic field against