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: Avancez – forward. URL to this page https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=job&rmjob=14963&rmlang=UK
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of Research Experience4 - 10 Additional Information Website for additional job details https://academicpositions.com Work Location(s) Number of offers available1Company/InstituteGhent
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FieldTechnologyYears of Research Experience4 - 10 Additional Information Website for additional job details https://academicpositions.com Work Location(s) Number of offers available1Company/InstituteGhent
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interdisciplinary collaboration. Multiple postdoctoral positions are available, hosted by our diverse faculty. Research areas include but are not limited to: Inverse Problems and Imaging Science Partial Differential
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. JOB DESCRIPTION AND POSITION REQUIREMENTS: Job Description A postdoctoral scholar position is available in the Computational Electromagnetics and Antennas Research Laboratory (CEARL) in the Electrical
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modeling, sensitivity and robustness analysis, Bayesian inference, inverse problems, parameter estimation, or model validation. Experience or strong interest in scientific AI/ML, including surrogate or multi
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Postdoc (f/m/d) Mechanical Characterization and Materials Assessment for Nuclear Applications / P...
Area of research: Scientific / postdoctoral posts Starting date: 01.11.2026 Job description: Postdoc (f/m/d) Mechanical Characterization and Materials Assessment for Nuclear Applications With
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Università degli Studi di Milano, su finanziamento codice U-GOV HE_ERC24CVERN_01 | Italy | 6 days ago
job details https://www.unimi.it/it/ateneo/lavora-con-noi/reclutamento-ricercatori/selezion… Work Location(s) Number of offers available1Company/InstituteUniversità degli Studi di Milano, su
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containment. The prohibitively high computational cost of such simulations necessitates the development of efficient and robust surrogate models for general GCS modeling tasks, especially when inverse modeling
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methods for analyzing complex experimental or imaging data. Demonstrated expertise in several of the following areas: inverse problems, statistics, optimization, uncertainty quantification, and/or computer