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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 3 days ago
the surface properties of the Asal-Ghoubbet rift by massive inversion of the Hapke model on Pleiades multiangular images. Remote Sensing of Environment 322, 114691. https://doi.org/10.1016/j.rse
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materials. Experience working with physically based forward and inverse modeling of time-domain AEM data as indicated in application materials. Experience working both independently and collaboratively as
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health interactions To apply: Application materials must be submitted on-line through AcademicJobsOnline at: https://academicjobsonline.org/ajo/jobs/31410 Through this website, applicants are to submit a
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societal costs. Recently, computational models based on in vivo microCT images have shown high potential to assess the biomechanical properties of bones. In this project, we will aim to show that microCT
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individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values. Application Materials Required: Further Info: http://www.bme.duke.edu http
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Description This PhD project builds on ongoing research projects in the area of photocatalytic membranes at IAMT. Current work will be expanded to (select) novel materials and membrane preparation
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external) https://med.stanford.edu/cancer/research/shared-resources/data-science.html (link is external) How to Submit Application Materials: Please email the required application materials to: Summer Han
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Materials Required: Further Info: https://rcec.sinica.edu.tw/index_en.php RCEC-Academia Sinica 128, Sec 2, Academia Rd. Taipei 115201, Taiwan
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) to study yielding in cellular materials, specifically in emulsions. The postdoc (M/F) will analyze experimental data and compare to simulations that they will carry out. - Numerically study a vertex model
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: Research,Research and Economic Development Boise State University invites applications for a Postdoctoral Research Fellow specializing in computational modeling and data science for water and energy