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or improvement. The intern will analyze the performance of AI models by comparing model predictions against established benchmarks. They will contribute insights on how to optimize algorithms and improve
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of PhD students on this project, collaborating with other partners in the ARIA programme, assisting with the delivery of project milestones, and managing the project’s codebase. We expect novel algorithms
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candidates whose work lies at the intersection of statistics, machine learning, data analytics and modern AI algorithms. This includes, in particular, statistics for high-dimensional and complex data
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. Implement and optimize algorithms for motion planning, balance control, perception, and human-robot interaction. Conduct experimental validation of humanoid robotic systems in lab and real-world environments
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Qualifications: (as evidenced by an attached resume) * Ph.D. degree in Data Science, Computer Science, Bioinformatics, Biomedical Engineering, Computational Biology, Neuroscience, or a related field. * 5 years
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Research Engineer in optimization and Design Space Exploration for Next-Generation Computing Systems H/F IN SUMMARY, WHAT DO WE OFFER YOU? We are looking for an Research Engineer in optimization and
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of Business, Economics and Statistics at the University of Vienna invites applications for a Tenure-Track Professorship in Computational Statistics and Data Analysis The position We welcome applications from
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Division/Team: Department of Computer Science Hours per week: Full Time Closing date (DD/MM/YYYY): 14/08/2025 Contract Duration: From 1st September 2025 for 18 months School/Directorate: School
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, this candidate will align computational methods with experimental workflows. The focus will be on developing advanced machine learning algorithms for monitoring various in vitro cell culture models (2D, 3D
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programme of clinical, health and bioinformatics at the South London and Maudsley (SLaM) Biomedical Research Centre (BRC) and forms a key component of both the Centre for Translational Informatics