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experience beyond the PhD in a research or engineering environment focused on large-scale AI. Experience with geometric deep learning, diffusion architectures, or related frameworks (e.g., OpenFold
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Apply now » Internal Research Fellow (PostDoc) in Theory of Deep Learning Job Requisition ID: 20829 Date Posted: 5 August 2026 Closing Date: 2 September 2026 23:59 CET/CEST Publication: External
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of students. A limited amount of teaching may be included (max 20%). Requirements PhD degree in machine learning, computer science, scientific computing, mathematics, statistics or a related field
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RNA-seq, ATAC-seq, and multiome datasets related to heart failure and cardiovascular biology. Develop and apply machine-learning and deep-learning approaches to identify disease-associated
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/or PhD in Computer Science, Bioinformatics, Computational Biology, Data Science, or a closely related field Strong experience in machine learning and/or deep learning, ideally with sequence models (e.g
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Intelligence for Transportation ( VITA ) is looking for a postdoctoral researcher in the area of Generative AI. VITA research interests lie at the intersection of Computer Vision, Machine Learning (Deep
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modern deep neural network-based techniques. The ideal candidate should have: A PhD and a strong record of research or applied work in deep learning, with demonstrated ability to design, train, and deploy
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models or foundation models for structured data is particularly relevant to this position. Key qualifications include: Strong research experience in deep learning and foundation models, including
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Postdoctoral Research Associate to develop, scale, and apply artificial intelligence (AI) and deep learning (DL) models for power grid systems. The successful candidate will contribute to scalable AI
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mineral resources Expertise in predictive or machine learning-based spatial modeling in a geoscience context Experience with the operation of deep marine research instruments at sea Application