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applicants should have a strong academic record with a solid background in Machine Learning. Knowledge of Vision-Language-Action models and Novel View Synthesis techniques is a strong plus. Good programming
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Mathematics (Inverse Problems), Computer Science (Machine Learning, Computer Vision, Efficient Algorithms and High-Performance Computing), and Physics (Image Formation Modelling). Your project is part of
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vision imaging technologies and machine learning methods to estimate physiological parameters (eat-readiness, shelf-life) of fruits at industrial sorting speeds. The work will include creating an accurate
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interest in interdisciplinary research at the intersection of AI and neuroscience (NeuroAI), and human vision; A background in machine learning, deep learning, and/or representational alignment research
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forms of contextual and behavioral data (e.g., activity patterns, workflow rhythms) that nurses identify as relevant to understanding their acoustic environment. This vision includes establishing
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(including ultra-high-field and ultrafast MRI) Computational and network neuroscience Machine learning and biologically inspired AI Vision science and predictive coding Clinical neuroscience and