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on advanced modeling of coupled fracture/damage of geomechanical materials when subjected a range of multiphysical loading regimes including hydraulic, thermal, and chemical processes. The direct applications
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., food processing, bioconversion and fermentation processes) Self-supervised learning for multimodal sensor data (e.g., spectroscopy, hyperspectral imaging, 3D point clouds, and other high-dimensional data
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George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | 3 months ago
-9789, https://doi.org/10.1016/j.promfg.2020.05.100 . Waad Q. Shiaa, Amjad B. Abdulghafour; Omar H. Hassoon. 3D reconstruction from CT images utilizing the open-source tool, AIP Conf. Proc. 2024, 3079
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the data repository and computer servers. Runs existing PET/MR brain image processing pipelines on the computer servers, produces the results, and communicates with the group members. Writes computer codes
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), electron energy loss spectroscopy (EELS), and advanced image processing. Strong expertise in TEM specimen preparation (e.g., focus ion beam (FIB) milling and conventional methods) Experience in charge
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. Describe a deep learning project you have executed, ideally a creative use of supervised fine tuning of a pre-trained vision transformer, U-Net architecture, or related topic. Projects in computer vision for
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department office at university-appointed times. Support the school in full-time faculty and adjunct faculty hiring processes, including coordination of candidate Interviews/Visits as needed. Interact with
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remaining cogniscent of changing stakeholder needs. Perform core histology techniques, trimming tissues, routine processing and embedding, microtomy, staining and IHC. Responsibility for the development and
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Job Purpose To deliver an efficient and effective Diagnostic Imaging Service by providing expertise and clinical activity in the Small Animal Hospital. To enhance and develop the delivery
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Germany | 7 days ago
measurements. Implement physics-informed machine learning models to predict mechanical properties from cell morphology. Collaborate closely with experimental teams to integrate transcriptomic and imaging data