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; expertise in several of the following: life cycle assessment, life-cycle cost analysis, pavement simulation, machine learning, deep reinforcement learning, and/or physics-informed modeling frameworks; and
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analyses. Experience with using Jupyter notebook Experience with regular expression natural language processing via Python Experience with machine learning models (e.g. regularization regression, random
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, machine learning, and optimization techniques. Ability to analyze experimental results, troubleshoot models, and document technical findings. Bachelor's degree in Computer Science, Electrical Engineering
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preparation; (f) provide research support for related projects involving multimodal learning, foundation models and domain-specific artificial intelligence applications; (g) support the translation of academic
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, troubleshooting, and production support for research workflows; developing and maintaining machine learning systems, data pipelines, model evaluation tools, applications, and reusable software components
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and illegal logging detection. Working at the intersection of computer vision, deep learning, geospatial analysis and remote sensing, the postholder will collaborate closely with academic and
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publications in established machine learning, computer vision, artificial intelligence, and robotics venues. Depending on the contribution and maturity of the work, relevant conferences include NeurIPS, CVPR
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, and machine learning, applied to longitudinal multi-omics data from pediatric cohorts spanning diverse socio-economic and geographical contexts. Our lab will be supported by two major grants starting in
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The Research Fellow (RF) will conduct research in the field of coastal dynamics, with a focus on the development and application of machine-learning-enhanced coastal models. The project aims
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, that can be realised using cloud compute infrastructure and other novel deployment architectures. Given our team's existing research skillset in novel machine learning approaches, we are recruiting a