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(e.g. deep learning, language models and responsible AI). Minimum Qualifications PhD or other doctoral degree in biostatistics, statistics or strongly related field. Record of high-quality scientific
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portfolio of transformational programs at the graduate, undergraduate and executive levels, all of them enriched by the dynamism and deep resources of one of the world’s business capitals. NYU Stern is a
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. Experience in high-throughput sequencing data analysis and cluster/cloud computing. Proficiency in variant calling, single-cell DNA and/or RNA analysis, and machine/deep learning (preferred but not required
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Affairs , the Dean is responsible for the overall operations of the college, including coordinating and assessing academic/instructional programs, improving academic excellence in teaching and learning
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corporations and foundations and trends that can lead to larger philanthropic commitments in support of Baylor's key initiatives Develop a broad and deep understanding of current fundraising priorities across
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research tasks, mentoring junior researchers, and coordinating multi-stage projects. Fluency in Python and modern deep learning frameworks (PyTorch/TensorFlow). Strong analytical, communication, and academic
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are empowered to thrive through supportive leadership, shared responsibility, and a deep commitment to genuine care and respect for our community. Find out more about our vision for a truly inclusive workplace in
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computer vision tools (e.g., MediaPipe, OpenPose, homography estimation, optical flow). Experience with eye-tracking data collection or analysis. Familiarity with deep learning frameworks (PyTorch
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within the centre. You will be part of a network of young researchers in deep learning in the Visual Intelligence Graduate School https://www.visualintelligence.no/about/vigs Jarli & Jordan/ UiO via
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vision, XR and generative models, specifically for capturing challenging scenarios and training deep learning systems to create better experiences for human users and learners. You will contribute