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Field
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include ultrasonic transmission, reflection and attenuation, and bioadhesive performance on skin. 3. Lead the development of wearable ultrasound devices signal processing for long-term cardiovascular
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: Sustainable mineral processing, with emphasis on phosphates beneficiation and process optimization. Main responsibilities: Conduct literature review on phosphate ore and waste processing and valorization
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generated by sedimentary potash processing activities. The postdoctoral researcher will investigate the valorization of each material separately through physicochemical and biological approaches, with the
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software, and will help set project targets and oversee experimental and image analysis work. You will train team members in sample processing methods — including fixation, embedding, and sectioning — and
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, Applied Mathematics, or a related field. Strong expertise in: Computer vision and image processing Deep learning (e.g., PyTorch, TensorFlow) Data-driven modeling and analysis Proficiency in Python and
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propagation and bioheat-transfer modeling . Experience automating image-processing or simulation workflows using Python, MATLAB, C++, or similar programming languages. Experience with DICOM data, medical
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grinding performance and enhancing resource recovery. The ideal candidate will have a strong background in mineral processing, comminution modeling, and ore characterization, and will contribute to
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element library FeNiCS, cardiac finite element modeling, medical image processing, and machine learning. The candidate is expected to possess excellent communication and written skills. Additionally
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decision-making and regulatory compliance in healthcare settings. Scalability and computational efficiency in processing and integrating massive multi-omics datasets from clinical cohorts. Key
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computing platforms for data processing (e.g., AWS, Google Cloud) Understanding of BMS architecture and electric mobility systems. Share this job Facebook Twitter LinkedIn Apply now Apply for GTI