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that may empower consumers to resist persuasion and reduce harmful consequences? Are you passionate about advertising, algorithms and social media? Then apply for this PhD project focused on demystifying
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enabling precise and rapid identification of adulteration. Spectral techniques generate unique chemical fingerprints of food items, which machine learning algorithms analyse to detect inconsistencies and
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designed to meet multiple needs in marine biodiversity monitoring. The project aims to develop embedded novel deep learning and computer vision algorithms to extend the system’s capabilities to classify
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for machine learning, with research topics ranging from decentralized and federated optimization, adaptive stochastic algorithms, and generalization in deep learning, to robustness, privacy, and security
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for machine learning, with research topics ranging from decentralized and federated optimization, adaptive stochastic algorithms, and generalization in deep learning, to robustness, privacy, and security
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(for full consideration) The Center for Data Science for Enterprise & Society at Cornell University seeks to recruit multiple candidates to be hired as Assistant Research Professors or Postdoctoral Fellows
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systems. To forge this new area of research, CSHL has identified a critical need for a cohort of researchers trained in both neuroscience and AI. Our primary goal is to develop new AI algorithms inspired by
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various processes in modern machine learning, including learning, inference, and generation. In particular, we are working to establish novel theories and algorithms that enhance the efficiency
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research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which
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Science. • Demonstrated effective writing and verbal communication skills. • Experience using technology in teaching and experience teaching in multiple modalities (hybrid, online, and face-to-face). • Evidence of