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engineering, computer engineering and applied physics, with a solid academic background in biomedical imaging and AI and an excellent research track record. Candidates should demonstrate a strong academic track
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resonance imaging) Fluency in English Experience and knowledge: Required: Experience in computer programming Expertise in Python programming for Machine and Deep Learning, e.g., sklearn, pytorch, tensorflow
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platform https://apply.uc.pt/ to submit their application, selecting the procedure to which they wish to apply. Documents uploaded for the application must be in portable document format (PDF). Applications
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biomedical image processing. Within the scope of machine learning and computer vision, there will be freedom to suggest your own research directions, and to become acquainted with new techniques and approaches
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the areas of signal processing for wireless communication systems including satellite communications and radar systems and is currently expanding its research activities in exploring several emerging use
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data processing, image/signal analysis, and machine learning. ✅ Familiarity with instrument control, calibration, and automation workflows. ✅ Excellent written and oral communication skills in English
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of Professor Khuloud Al-Jamal, a Chair of Drug Delivery and Nanomedicine. The aim of our lab is to use nanotechnology to better understand, diagnose and treat diseases with particular interests in cancer and
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validation. Data Processing: Documentation, data analysis, and contribution to reports/publications. Expected Outcomes: TRL 5 UAV prototype. 3 Q1 publications and one patent contribution. Workflow for morphing
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Dumenil, where intravital imaging approaches will be performed. - Conduct independent research on the chosen topic - Design, perform, and interpret experiments - Present results to the scientific community
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of offers available1Company/InstituteInstitut Montpelliérain Alexander Grothendieck (IMAG)CountryFranceGeofield Contact City Montpellier Website http://www.umontpellier.fr/ Street 163 rue Auguste Broussonnet