Doktorand inom maskininlärning av geometriska representationer vid ISY
Core
Developing interpretable latent representations and implicit neural models for visual learning theory.
Role type
PhD researcher in machine learning (geometric representations)
Builds
Research outputs and methods for visual learning
Domain
Computer Vision and Machine Learning
Deliverable
research
Required skills
Machine learning, programming, visual data analysis, advanced mathematics, long-term project management, scientific writing, English (fluent)
Preferred skills
Publications in computer vision or machine learning conferences
Technologies
Neural networks, visual data processing
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