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, infrastructures; algorithmic bias and fairness; artificial intelligence (AI) policy broadly or within specific professional sectors (e.g., health information systems; knowledge management systems; information
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Location: Odense, 5230, Denmark [map ] Subject Areas: Pure math, with relations to quantum theory or with emphasis on Quantum algorithms, Quantum software and Quantum computing. Appl Deadline: 2025/12/01 11
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Overview Our Machine Learning PhD Internship is a 10-week immersive experience designed for PhD candidates who are passionate about solving high-impact problems at the intersection of data, algorithms, and
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-modal data. * Develop and implement algorithms to process, clean, and transform large datasets to support research objectives. * Conduct exploratory data analysis, hypothesis testing, and develop data
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machine learning algorithms, conducting computationally intensive statistical analyses, summarizing research findings, and editing research papers. In addition to working closely with faculty, senior
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a motivated individual to support research and development tasks relating to algorithm development and data analytics requiring a background in the geosciences and data sciences. This includes tasks
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Responsibilities: To assist in developing multimodal algorithms that can detect early signs of depression from speech and text information. To assist in designing, developing, and acquiring voice and text corpus
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mix of algorithm engineering and formal methods, alongside more traditional software engineering activities. This project involves developing software which is both mathematically rigorous, and
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, post-docs and interns collaborating across universities to build better algorithms, software tools and benchmarks to assess the safety of AI implementations at the software and hardware level. We
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Scheduled Hours 40 Position Summary Collect neuroimaging data and perform innovative analyses on these and related data. Develop and implement computer algorithms for analyzing the data. Assume