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within a Research Infrastructure? No Offer Description Our research focuses on computational imaging for biomedical applications. By integrating advanced numerical methods with customized optical imaging
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within a Research Infrastructure? No Offer Description Our research focuses on computational imaging for biomedical applications. By integrating advanced numerical methods with customized optical imaging
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Project title Multi-Modal Large Language Model for Medical Image Analysis Research period 2 years Abstract The proposed research project aims to develop a novel multi-modal large language model (MLLM
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Fyrdahl, David Marlevi, and Andreas Sigfridsson on sequence development, image reconstruction, and data analysis for next-generation magnetic resonance imaging (MRI). Based in a clinically integrated, well
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/ The SEISCOPE consortium studies high-resolution seismic imaging based on full waveform inversion. More specifically, we focus on full waveform inversion applied to large-aperture/large-azimuth (or global offset
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Engineering and Cybernetics VSB -Technical University of Ostrava. The successful candidate will carry out research in the field of Biosignal processing and medical images processing under supervision of prof
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development for dynamics imaging. The primary goal of this project is to develop single-frame ptychography methods that eliminate the need for scanning, enabling fast imaging and the visualization of dynamic
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extracellular interactions at close contacts in T-cell signalling, leveraging cutting-edge single-molecule imaging and super-resolution microscopy approaches to dissect the molecular mechanisms underlying early
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images processing under supervision of prof. Marek Penhaker (https://orcid.org/0000-0001-9527-4642 ). This position requires knowledge related to modern methods for biosignal processing, preferably medical
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Title: Postdoctoral researcher in computational imaging, via applications in astronomy and medicine. Grade and Salary: Grade 7 (£37,174 - £46,735) FTE and working pattern: Full-time (35 hours per