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an industry partner. Experience with research software, data pipelines, and simulations, machine learning, high-performance computing, CANFAR, or advanced data systems. Evidence of mentoring or supervising
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students to analysing multimodal learning data (e.g., individual as well as collaborative verbal interactions, student gestures, task and activity sequences) and evaluating long-term learning outcomes. As
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from diverse backgrounds including data sciences, computing, statistics, epidemiology and human computer interaction. We collect, analyze, and interpret complex, multi-scale real-world data from large
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those interested in work on machine learning, participating in our analysis of ground-based telescope and gravitational-wave data to study multi-messenger, transient objects by building machine learning
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applied artificial intelligence, contributing to King's strategic strengths in AI-enabled health research, Learning Health Systems, trustworthy AI and the use of large-scale health data. The post is on
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Assistant Professor in statistics for the development of privacy-enhancing techniques in health care
following areas: Synthetic data generation Machine learning Large health register data GDPR compliance rules Valued personal competencies include being independent and creative, having an outgoing personality
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science, or related computational approaches. Candidates must have experience developing or implementing machine learning methods for large-scale data analysis, predictive modeling, or biological discovery
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sections for applications. Technical Authority: Maintain comprehensive knowledge of NGS data analysis flows, including but not limited to WGS/WES, scRNA-seq, 4C, and HiC, as well as modern machine learning
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coordinator for a large R01 trial focusing on Type 2 Diabetes in Adults. Key Responsibilities: Coordinating and conducting research visits at Adult CTRC. Utilizing CTRC Scheduler. Transport study supplies and
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8 Jul 2026 Job Information Organisation/Company Institute of Fundamental Technological Research Polish Academy of Sciences Research Field Engineering » Computer engineering Computer