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Field
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Program. The selected candidate will: The candidate will perform tissue dissections, immunohistochemistry, and sample preparation for advanced imaging. They will also manage Drosophila genetics and
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Doctoral (PhD) Candidate to join the new MSCA Doctoral Network FairCFD (https://www.imft.fr/faircfd/project-presentation/ ). The candidate will enrol for a PhD in Chemical Engineering at the University
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The Computer Vision-Core Artificial Intelligence Research (Vision-CAIR ) group led by Prof. Mohamed Elhoseiny at the CS Program of the King Abdullah University of Science and Technology (KAUST) is
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, if applicable. Enrolment in Master's degree in Informatics or Informatics Engineering. Work plan: The objective is to develop a prototype system for the registration of medical images, namely ultrasound and MRI
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improvements. Validate reliability and scalability via thermal cycling/HTS/electrical stress on test vehicles; build prototype stacks (e.g., interposer/test-chip) to evidence manufacturability. Report and
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: Master's degree in Biomedical Engineering, Electrical Engineering, Computer Science, or a similar field. Minimum profile: Experience in biomedical image processing., Knowledge of machine learning/deep
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disease patients using radiation therapy. The primary aim of this research is to develop real-time target tracking and/or dynamic imaging algorithms for implementation within radiotherapy and medical
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. This fellowship offers a unique opportunity to be at the forefront of groundwater technology, gaining experience on projects ranging from groundwater sampling and geophysical imaging in the field, analysis
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radiation therapy. The primary aim of this research is to develop real-time target tracking and/or dynamic imaging algorithms for implementation within radiotherapy and medical imaging. Within our research
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imaging. Key Responsibilities: Design and carry out ultrasonic experiments and develop signal processing techniques Develop theories of acoustic wave propagation in complex materials Design numerical