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Field
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would be doing: Process and analyse large-scale calcium imaging datasets from multisensory experiments, including neural responses from visual and auditory cortices recorded over multiple days Apply and
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Kontogianni. Our research explores how intelligent systems can perceive, understand, and interact with the 3D world. We develop new methods in computer vision, machine learning, and multimodal 3D
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apply new MRI sequences to visualize various aspects of the brain clearance system. • Develop and perform advanced data reconstruction, post-processing, analysis, and interpretation to gain new insights
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The availability of remote monitoring and big data opens up new opportunities to innovate traditional safety assessment and certification methods, which rely on visual inspections and reactive approaches. Future
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of statistical analysis software (e.g., SPSS, R) and data visualization techniques Previous experience working in a research laboratory setting, preferably in pediatrics or related fields. Equal Employment
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and work with data collected by the counselors and classroom staff during the program. Research Assistants will prepare data collection materials and rating scales, collect and verify parent and staff
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. This project focuses on unravelling the origin of the elevated corrosion rates of AM-built Mg- and Zn-alloys. The work will revolve around micro- and nanoscopic visualization of initial micro-galvanic activity
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RedCap. Proficiency in statistical software such as R, SAS, or Stata; experience with data visualization and reproducible workflows (e.g., R Markdown, Git) is desirable. Strong publication record in peer
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, or closely related topics. Interest in data analysis and computational modelling. Interest in software (cloud platforms/data visualization) and related applications to integrate real-world energy data. Very
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NeuroAI of Developmental vision (m/f/x) to work on: The Curriculum of Sight - How Visual Processing Develops in Brains and Machines. For animals, it is imperative to learn as quickly as possible. To do