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Intervention invites applications for a two‑year postdoctoral fellowship within the project AI‑Driven Medical Imaging. The position is expected to start on 1 September 2026 or as agreed. The fellowship is funded
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, incorporating their own ideas and experience in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses
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of formulating them, incorporating their own ideas and experience in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment
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spectrometry. The project involves developing characterization methods using mass spectrometry (FT-ICR, TOF-SIMS) and imaging techniques (SEM, TEM) for both biological and inorganic materials. Responsibilities
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fundamental and applied contexts. Using state-of-the-art laboratory facilities, we advance understanding of turbulent incompressible, compressible, and multiphase flows through coordinated research
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techniques such as tensile, compression, DSC/TGA, etc. as well as analysis of the data with good knowledge of possible errors. hands-on experience with alloy design strategies, including high-throughput
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techniques such as SEM, TEM, XRD, EDS, EBSD, FIB/SEM etc., as well as physico-mechanical characterization techniques such as tensile, compression, DSC/TGA, etc. as well as analysis of the data with good
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Job Id: 11662 Limited to 2 years (with possibility of extension) | Full-time with 38,5 h | Salary according to TV-L E13 | European Institute for Molecular Imaging We are UKM. We have a clear social
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at the Division covers turbulent flow (both compressible and incompressible), multiphase flows, aero-acoustics and turbomachines. Our tools include both computations and experiments. The research covers a wide
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Natural History. The researcher will develop deep learning models to predict individual bee age based on wing morphology. This model will be trained of existing wing images and applied to images of museum