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graduate students for careers in industry, research, and academia. The department is housed in the LEED Gold-certified Farris Engineering Center, which brings Computer Science together with Chemical
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Qualifications Experience with medical image analysis or biomedical data. Familiarity with transformer-based architectures (e.g., Vision Transformers). Background in biomedical engineering, computer science
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29 Aug 2026 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Application
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Scholar with strong expertise in computer vision, multimodal AI, machine learning, and/or agentic AI to help build the next generation of intelligent digital health solutions. You will work side by side
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intersection of artificial intelligence, computational biology, and computer vision. It is designed for candidates excited about applying advanced AI methods to frontier problems in biology. We are seeking
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Machine Vision / Mechanical Engineer Ghent VIB-UGent Center for Plant Systems Biology Posted Date 30 Jul 2026 Locations Ghent Center VIB-UGent Center for Plant Systems Biology Lab Hilde Nelissen Lab
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Research Unit of Health Sciences and Technology (HST), Faculty of Medicine the Center for Machine Vision and Signal Analysis (CMVS), Computer Science and Engineering, Faculty of Information Technology
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Advanced Science and Technology , and National Center for Supercomputing Applications . A doctoral degree or equivalent terminal degree in computer science, electrical and computer engineering, or a
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-disciplinary hub connecting researchers in Electrical and Computer Engineering, Computer Science, Industrial Engineering, Artificial Intelligence, High-Performance Computing, and related areas to
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Max Planck ETH Center for Learning Systems | New Germany, KwaZulu-Natal | South Africa | 29 days ago
for Science, AI Safety, Bio-inspired Robotics, Biomechanics, Causal Inference, Computational Biology, Computer Graphics, Computer Vision, Control Systems, Deep Learning, Digital Humans, Earth