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Field
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device prototypes. Furthermore, the candidate should have experience in polymer processing techniques, including filament extrusion, compression molding, injection molding, and fused deposition modeling
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sequence programming (e.g., IDEA/ICE) and contemporary image reconstruction techniques (e.g., compressed sensing, parallel imaging, model-based or deep learning reconstructions). Knowledge of radial data
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sequence programming (e.g., IDEA/ICE) and contemporary image reconstruction techniques (e.g., compressed sensing, parallel imaging, model-based or deep learning reconstructions). Knowledge of radial data
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, biologists, and data scientists. The emphasis will be on enabling high-fidelity image reconstructions from sparse and noisy data, leveraging state-of-the-art methods in compressed sensing, optimization, and
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expectations. Preferred Qualifications Previous experience with turbulence over rough walls, porous media, or complex geometries, as evidenced by work history. Knowledge of compressible flow regimes, including
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of compressible flow regimes, including supersonic and hypersonic flows, as demonstrated by application materials. Familiarity with machine learning or data-driven modeling approaches in fluid dynamics, as
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-extrusion 3D printing and 3D bioprinting. Topics include: 3D printable soft electronics for bio-hybrid tissues with embedded sensors Functional Bio-matrices for embedded bioprinting of perfusable tissue
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Post-Doctoral Fellowship in risk assessment and prioritization and remediation of dumped munition...
pathways of contaminants in diverse environmental and human matrices. Our work involves conducting both environmental risk assessment and public health risk assessment ( https://envs.au.dk/en/about-the
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pathways of contaminants in diverse environmental and human matrices. Our work involves conducting both environmental risk assessment and public health risk assessment ( https://envs.au.dk/en/about-the
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and training your own AI-based models for image segmentation or image compression, as demonstrated by Git repositories Experience in supervising students and young scientists Good knowledge of materials