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Post-doctoral Researcher in Multimodal Foundation Models for Brain Cancer & Neuro-degenerative Disea
Qualifications PhD in machine learning, computer vision or a related field. Established expertise in deep learning methods applied to images analysis. Experiences with generative models, volumetric image
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, including robotic control, mechanics of materials, fluid mechanics and biological systems, in collaboration with other researchers and companies. Your profile Applicants should hold a PhD in Computer
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device-to-architecture level models of emerging nanoscale devices (spintronic, resistive, or hybrid) for in-memory and neuromorphic computing. Exploring hardware-level security mechanisms based
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PhD degree in Telecommunication Engineering, or Electrical Engineering, or Computer Science/Engineering with a focus on SDN/NFV Strong expertise in SDN, orchestration, NFV, and container technologies
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PhD Degree in a relevant scientific field (e.g. computer science, data science, mathematics, engineering, or related); Strong understanding of generative models (e.g., VAEs, GANs, transformer-based