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reproducibility, Knowledge of deep-learning methods, At least one first author manuscript in the context of omics data analysis in an international peer-reviewed journal in good track for publication (to be
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural
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the College of the Arts, not only do we reach higher, we reach forward to shape the future of the arts in new and innovative ways. For more information about the College of the Arts, please visit: http
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-making. Provide broad critiques of content after publication, emphasizing lessons learned and opportunities for improvement. Additional Responsibilities Include: Offering pre-publication advising help and
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to operations team staff members. Learn more about admissions at Bowdoin: https://www.bowdoin.edu/admissions/ The hiring range for this position is expected to be: $106,000.00 – 120,000.00 BENEFITS AND
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in image processing and analysis, including deep learning (e.g., CNNs) experience with correlative imaging workflows and 2D/3D registration techniques strong programming skills in Python and/or C/C
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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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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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insurance, additional retirement plans and much more. To learn more about these benefits, please visit: https://hr.uky.edu/employment/our-benefits The position will be posted until filled, with an intended
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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