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https://www.oeaw.ac.at/en/oeai/research/historical-archaeology/historische-bauforschung Within the project, a multidisciplinary analysis of the 19th century iron structures of the Austrian monarchy (as
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, machine learning, multiscale and multiphysics simulation, computational anatomy, medical image analysis, and integration of wearables and biosignal processing, applied to conditions ranging from cardiac
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in image processing and analysis, including deep learning (e.g., CNNs) experience with correlative imaging workflows and 2D/3D registration techniques strong programming skills in Python and/or C/C
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/Qualifications Laboratory skills: 3D printing, polymers, composites, nanomaterials synthesis; Experience in molecular spectroscopy: practical skills in Raman, SERS, IR, and UV-Vis spectroscopy; analysis of various
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to 3D printing partners. 4. Bibliographic and patent analysis. 5. Coordination of project activities jointly with the Partners. 6. Drafting of deliverables and Project Milestones. 7. Monitoring
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neutrophils, tumor cells, CD8+ T-cells, and cancer-associated fibroblasts, within a biomimetic 3D hydrogel that replicates the tumor microenvironment. Observing neutrophil behaviour: Automated image analysis
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of 3D+ structure, heterogeneity, and/or dynamics from scattering and/or microscopy data; (2) autonomous analysis and decision making for self-driving and/or human-in-the-loop experiments; (3) computer
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approach, Timelapse-Patch-Seq (TiPS), combining electrophysiology, 3D imaging and transcriptomics at the level of individual synapses. Main tasks Design and conduct a postdoctoral research project on long
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linear stability analysis of 3D flow in rectangular channels Knowledge of ANSYS FLUENT and/or OPEN Foam CFD codes, Python, Paraview, … Extensive experience in programming A knowledge of complex fluid
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electrodes using various electron microscopy techniques (e.g. FIB-SEM); (ii) Reconstruction of the 3D structure through image analysis; (iii) Analysis of images from new and aged membrane-electrode assemblies