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you be doing in this role: The Data Scientist delivers analytical solutions using programming, data mining, statistics, machine-learning, and visualization techniques. Responsibilities include querying
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systems capable of understanding, learning, and acting in complex, dynamic settings. The team works at the intersection of computer vision, multimodal learning, and robotics to create next-generation
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. Python, MATLAB, or R) is required. Advanced data collection, interpretation, and report writing skills are required. Artificial Intelligence (AI) / Machine Learning (ML) Research Scientist (Temporary) PhD
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the following ones. Exploration of active auditing techniques for large machine learning models, use of reinforcement learning, potential application to recommender systems. The PhD will mainly investigate
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and have synergiccollaborationeffects. Weexpect a motivatedearlycareer researcher with stronginterest and experience with GIS/earth observation/climateprojection data as well as machine learning models
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translational research. Machine Learning, Statistical Modeling & Informatics Research Apply ML/AI approaches for pathogenicity prediction, phenotype clustering, or multimodal data modeling. Support translational
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; however, we are particularly interested in the following areas: AI/Data Science/Controls in Biomedical Engineering/Biomanufacturing (brain-computer interface, computer vision, machine learning, digital
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clinical genetics and translational research for precision medicine programs. Advanced Analytics and Machine Learning Lead ML/AI approaches for pathogenicity prediction, phenotype clustering, or multimodal
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part-time post (0.2FTE) ideal for someone working in industry or with industry experience. This is because we want to bring in expertise with data processing and machine learning pipelines, and their
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modelling, machine learning, growth mixture modelling). Excellent skills in statistics and advanced quantitative data analysis, including strong skills in command driven programming languages (e.g., STATA, R