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Field
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Biology, Bioinformatics, Statistics, or a closely related discipline, and have an strong record of research productivity. The ideal candidate will have experience in deep learning, generative models
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We are seeking creative and energetic candidates with strong experience in multimodal machine learning and human behavior analysis and modeling for a one-year Postdoctoral position. Using recent
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faults on seismic data. The project is part of the digitalization for risk management; therefore, it is expected that the candidate will be familiar with new methods such AI (deep learning) for subsurface
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. No one can be appointed for more than one Postdoctoral Research Fel-lowship at the University of Oslo. Postdoctoral fellows who are appointed for a period of four years are expected to acquire basic
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machine learning (ML), as well as AI-enabled science. Specifically, our goals are to pioneer cutting-edge technical research that will transform current AI paradigms, bring about deep understanding of AI
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or machine learning. Excellent programming skills in Python and deep learning frameworks A collaborative mindset and interest in socially impactful research. Experience with sign language data, multimodal
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translational medicine concepts Publication history in relevant fields (AI/ML, genetics, toxicology) Experience with deep learning frameworks and generative AI models (e.g., GANs, VAEs) Key Leadership
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at the Institute and affiliated academic departments. What you’ll do: Designing, developing, and deploying modern AI/ML models—including deep learning, foundation models, multimodal architectures, and generative
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. Research will focus on neural data integration, neural circuit modeling, biologically grounded representation learning, and foundation models for neurobiology. The Postdoctoral Fellow will work closely with
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Postdoctoral Research Fellows - AI for Energy We are seeking outstanding postdoctoral research fellows to join a multi-year research initiative sponsored by the Bezos Earth Fund . This project aims