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be preferred. Requirements: PhD degree in Learning Sciences, Educational Technology, Human-Computer Interaction (HCI), Information Technology, AI, or a relevant field Demonstrated experience and
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of artificial intelligence, world models, large language models, scientific AI, data ethics and privacy, data visualization, societal impacts of data and AI, data engineering, and scalable data and AI systems
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scholarly research, as evidenced by peer-reviewed publications and strong research in progress in data science, machine learning, agentic AI, quantum computing, AI and/or related areas. 3. Demonstrated
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, clinical and sensor data processing, quantitative image analysis and machine learning. They will establish and maintain robust research databases and FAIR-compliant data management processes for large, multi
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assistant. Preferred: Training, credentials, or experience in teaching undergraduate and graduate courses in data science or machine learning. Application Instructions Applications must be submitted online
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. Ability to effectively utilize a computer and applicable software to create databases, perform statistical analyses, present data, and perform other computer related tasks. Ability to multitask and work
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research, Learning Health Systems, trustworthy AI and the use of large-scale health data. The post is on an Education and Research academic contract, with a balanced portfolio of education and research
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of machine learning in cosmology; Coordinating experiments and research activities based on data obtained from satellite missions in the field of cosmology; Analyzing and interpreting the results of RDI
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, clinical and sensor data processing, quantitative image analysis and machine learning. They will establish and maintain robust research databases and FAIR-compliant data management processes for large, multi
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research infrastructure. Apply advanced statistical, machine learning and data engineering methodologies to large-scale, longitudinal datasets, contributing to innovative melanoma and skin cancer research