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related subject. Proven experience with X-ray imaging techniques, e.g. µCT, nanoCT, TXM or similar. Experience in computer programming for data analysis, e.g. Python. Demonstrated ability to work both
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research and implementation. You will also develop novel algorithms using state-of-the-art computer vision and machine learning techniques (segmentation, multimodal AI, foundation models, agentic frameworks
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related to staff position within a Research Infrastructure? No Offer Description SUSMAT - Postdoctoral Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials About UM6P: Mohammed
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, Raspberry Pi, or similar platforms). • Experience with computer-aided design (CAD) software and rapid prototyping techniques, including 3D printing. • Experience developing artificial intelligence and machine
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Sciences, Geodesy, Physics, Mathematics, Computer Sciences, Civil & Environmental Engineering, or a related field. PhD awarded no more than four years prior to the effective date of appointment with a
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of computational methods into clinically interpretable tools for bedside monitoring. Required Qualifications: PhD, MD, MD-PhD, or equivalent degree in biomedical engineering, electrical engineering, computer
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relevant subject area: Machine Learning, NLP, Computer Vision or related fields. Strong publication record in AI/ML/CV or related areas. Ability to work independently and collaborate across disciplines
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curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering (ECE) ranks among the best in the country. Our research programs are at the forefront
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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postdoctoral researcher, you will lead the human-computer interaction side of the project. You will investigate how everyday athletes and coaches currently use tracking and feedback technologies, design and