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of statistics, data science, machine learning, artificial intelligence, computer science, and related disciplines. Successful candidates are offered a two-year appointment with the potential for a one
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utilizing computational approaches including machine learning models, image analysis pipelines, and bioinformatics analyses; Designing and conducting experiments integrating microscopy, transcriptomics, and
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award winners are preferred Research experience and practical background in Machine Learning or AI4SCI. Candidates with experience in cutting-edge deep learning research (e.g., GNNs, Transformer-based
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transportation systems, transportation data analytics, AI/machine learning, Web-based transportation systems, or database development; Strong programming skills in Python, C++, MATLAB, Java
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imaging science or related field or an equivalent qualification; (ii) demonstrate research skills in imaging science and machine learning, particularly on image reverse engineering, fake image and
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, Statistics, Bioinformatics, Computational Biology, or other AI-related disciplines. Strong foundation in AI, statistical modeling, machine learning, or high-dimensional data analysis. Proficiency in
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Experience in image analysis packages such as Freesurfer, FSL, SPM, or 3DSlicer, or using machine learning or artificial intelligence models would be advantageous What We Offer The appointee would be
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imaging science or related field or an equivalent qualification; (ii) demonstrate research skills in imaging science and machine learning, particularly on image reverse engineering, fake image and
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Social Research”, “Applied Analytical Statistics for Social Scientists”, “Machine Learning with Social Data” and “Social Networks Analysis” . The appointee should be prepared to actively support the