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‑electron tomography (cryo‑ET) to study in situ amyloid deposition and amyloid–cell interactions in experimental models and human tissues. This project is part of the BE.Amycon VIB Grand Challenges initiative
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: 23.12.2025 Job description:PostDoc at the P05 Nano-Tomography Endstation Job ID: 940 Location: Hamburg Application deadline: 01/21/2026 Helmholtz-Zentrum Hereon operates an outstation at DESY in Hamburg
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algorithm capable of an unprecedented regime of joint precision, robustness, efficiency, and scalability for image formation. The core application is dynamic black hole tomography with radio-interferometric
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computed tomography (CT) reconstruction, including sparse-view and limited-angle algorithms, and the application of advanced machine learning (ML) and computational imaging methods to scientific and
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structure determination using a) cryo-Electron Microscopy b) cryo-Electron Tomography c) X-ray crystallography 3.Preferably published in techniques mentioned above A job description and person specification
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University is seeking a Postdoctoral Researcher to work on projects related to digital holography and optical coherence tomography. Candidates should have a PhD in electrical or biomedical engineering or
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of myocardial fibrosis using 68Ga-FAPI-04 PET/CT (Protein Positron Emission Tomography associated with Computed Tomography using Gallium-68-labeled Fibroblast Activation Inhibitor), integrating multimodal imaging
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(STED) and Stochastic Optical Reconstruction Microscopy (STORM) Cryo-electron tomography Imaging data science and AI-based analysis A strong record of contributions to peer-reviewed research publications
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culture and in tissue models. In this project, you will infect human cells with HMPV and use cryogenic electron tomography (cryo-ET) with subtomogram averaging to solve the structure of HMPV virions. You
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temperature, and abuse scenarios). These datasets comprise multi-modal, multi-scale measurements, including time-resolved X-ray radiography and tomography, coupled with electrochemical and thermal data