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principles and techniques to biomedical datasets. Experience and interests may include designing machine learning pipelines, building web applications or tools, and creating and maintaining visualization
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; dementia care and wandering prevention; activity tracking for chronic disease management. Artificial Intelligence & Machine Learning: Predictive risk modeling for falls, hospitalization, and cognitive
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and prediction; dementia care and wandering prevention; activity tracking for chronic disease management. Artificial Intelligence & Machine Learning: Predictive risk modeling for falls
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of engineering will be considered with an emphasis on the research strengths in bioengineering, data analytics, artificial intelligence, and machine learning. More information on our research
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and Agentic AI Research Centre (CIAA) Pattern Recognition/Machine Learning/Deep Learning/Reinforcement Learning, LLM/MLLM, Generative AI, Neural Graphics, Graph Mining, Data Mining, AI agent, Natural
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satisfactory performance, your position will be confirmed as permanent. Applicants must demonstrate high quality research applying computational approaches, including machine learning and artificial
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statistics, educational measurement, assessment, cognitive science, database management, machine learning, or other relevant discipline Demonstrated experience collaborating effectively with assessment
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ability to develop reproducible processing procedures. * Knowledge of machine learning and an interest in language models. * Ability to analyse complex data and assess the uncertainties and limitations
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data. The project team includes chief scientists with expertise in machine learning ( Professor Serge Belongie , Pioneer Center for AI), natural language processing ( Associate Professor Anna Rogers , IT
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<span lang="en">German Center for Neurodegenerative Diseases (DZNE)</span> | Bonn, Nordrhein-Westfalen | Germany | 1 day ago
machine learning methods for pattern recognition and predictive modeling is desirable but not a prerequisite
- Strong analytical skills, independent and critical thinking, and attention to detail