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, TensorFlow, HuggingFace). Model Development and Delivery Support Perform data cleaning, exploratory data analysis (EDA), and feature engineering. Train, evaluate, and compare machine learning models under
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from the School of Physical and Mathematical Sciences with the School of Chemical and Biomedical Engineering. It is jointly run by the College of Science and the College of Engineering (https
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research, optimization, and decision analytics. • Supply chain engineering and logistics systems. • Human factors and ergonomics. • Data analytics, artificial intelligence and machine learning
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of senior researchers, the individual will help apply machine learning methods, with a focus on reinforcement learning, to mathematical problem solving. The role emphasizes hands-on experimentation
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track record in one or more of the following fields: (1) human-computer interaction, collaborative AI, (2) Generative AI/machine learning, (3) interaction design, experimental design, or evaluation
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Models, Knowledge Graphs, and related fields (e.g., Graph Machine Learning) Tasks: scientific research in at least one of the following areas: Natural Language Processing, Knowledge Graphs, Machine
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with overall management of the significant growth of the ILC program, editing, managing, and completion of program technology commercialization projects that are instrumental to the Law 815 class, as
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intelligence, and multimodal learning. The main objective of this position is to develop novel generative AI methods for computer vision applications, with a particular focus on Diffusion Models and Vision
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Qualifications* Must be a current undergraduate student in the ECE - Electrical & Computer Engineering Department at UM-Dearborn Self-motivation and willingness to learn new applications and the ability to work
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postgraduate computer science programmes. Supported by major research grants, the School of Computer Science at UNNC is developing research excellence in areas including Machine Learning, Big Data, Visual