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grant proposals. Fellows will be mentored to facilitate transition to independent research careers by emphasizing acquisition of analytic, writing, and other research skills. Further, fellows will have an
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to independent research careers by emphasizing acquisition of analytic, writing, and other research skills. Further, the fellows will have an opportunity to learn from our highly interdisciplinary, collaborative
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Data Analytics, including but not limited to: “Data Analytics for Social Research”, “Applied Analytical Statistics for Social Scientists”, “Machine Learning with Social Data” and “Social Networks
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graphs or multi-agent reinforcement learning. Strong programming skills in Python and AI frameworks such as PyTorch, JAX or TensorFlow, combined with excellent analytical, problem-solving, communication
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, or multiome analysis. Strong analytical, problem-solving, scientific writing, and communication skills. Preferred education/experience Experience with machine learning, deep learning, or foundation models
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Responsibilities: Conduct project related research on geophysical/geomechanical investigation, geomodelling, data analytics, and machine learning. Responsible for processing and analyzing geophysical/geomechanical
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, Lancaster and Sumter enable students to earn associate or bachelor’s degrees through a combination of in-person, online or blended learning. All of our system institutions place strong emphasis on service
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The Centre for Quantum Technologies at NTU invites applications for a Research Fellow position in Quantum-Enhanced Learning, Agents and Algorithms. The successful candidate will conduct independent
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background in web-based software development. Knowledge of data analytics techniques and tools, including machine learning and data visualization. Excellent communication and interpersonal skills with
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machine-learning models to investigate how brain, environment and social factors influence cognition, ageing and neurodegenerative disease. The role will contribute primarily to WP6 and related analytical