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candidate will have recently completed (or be close to completing) a PhD in Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically
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new studies, proposals and routes to impact, and collaborate closely with PhD students, postdocs, industrial partners and international collaborators to advance OPV towards terawatt‑scale deployment
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of AI, genomics, and conservation biology, collaborating with world-class researchers while working with some of the largest genomic datasets (e.g. Vertebrate Genomes Project, California Genomes Project
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highly multidisciplinary environment, collaborating closely with radiologists, software engineers, and data scientists to advance clinically relevant AI methods. Your research is expected to lead to high
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considerations from a data analysis and instrument optimisation perspective. Teach users how to operate imaging devices Understand image formation processes to design methods for optimal information retrieval from
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 5 days ago
) for the mathematical and computational aspects as well as by Mohammed Bendahmane (https://www.ens-lyon.fr/RDP/Morphogenese-florale/ ) (Inrae Lyon) for the biology. It will also be conducted in close collaboration with
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focused on exploration and development of AI models of auditory perception, towards a broader goal of understanding how the brain predicts and learns from human communication sounds such as speech and music
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in Utah to recruit multiple postdoctoral fellows to apply high throughput methods and machine/deep learning to unlock the full potential of the dark proteome. Responsibilities Scientific visionRibosome
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. Weinstein (DTU Chemistry) to develop novel molecular ML methods and use them to control, steer, and learn from large scale wetlab experiments. You will deploy these methods in collaboration with Prof. Katrine
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with deep technical expertise and transferable skills to tackle tomorrow’s challenges. SIT collaborates with industry in our education, while benefitting them with our talent supply and collaborative