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FLOWBOOST, an international consortium advancing the technology from the laboratory toward a kW-scale prototype, offering close collaboration with academic and industrial partners across Europe. Your profile
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computer vision, deep learning, and logical reconstruction techniques. The research investigates how multimodal imaging modalities - including scanning electron microscopy (SEM), photon emission microscopy
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of practice. Assist with the education and training of new physicians. Assist radiologists and PhD's in developing new protocols and Ultrasound imaging techniques that are unique to facility. Participate in
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. About You You will have a PhD in computer science, engineering, mathematics, or similar, strong programming skills, and experience with a contemporary machine-learning framework such as PyTorch. You will
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leading journals and conferences. About you · a PhD in Materials Science and Engineering, Physics, Materials Characterisation, Computational Materials Science, or a closely related discipline
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the Horizon Europe project FLOWBOOST, an international consortium advancing the technology from the laboratory toward a kW-scale prototype, offering close collaboration with academic and industrial partners
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design, alignment, operation, and advanced characterization techniques, including laser-based and imaging setups. Competent in scientific programming and data analysis (e.g., Python/Matlab), with strong
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with clinical research experience, or a PhD degree in biomedical engineering, medical physics, computational science, or a related field with experience in vascular imaging research. Experience in
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experience, or a PhD degree in biomedical engineering, medical physics, computational science, or a related field with experience in vascular imaging research. Experience in clinical or imaging-based research
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the direction/supervision of a radiologist. 3. Assists with the education and training of new physicians. 4. Assists radiologists and PhD's in developing new protocols and Ultrasound imaging techniques