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Field
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big data and AI at its core. A central goal of the project is to build a foundation model of the visual brain—a “digital twin” that captures neural activity and intelligent behavior at unprecedented
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experiments, natural language processing, and network modeling. Experience mentoring students. Expertise in Python and TensorFlow. Proficiency in R, SQL for data analysis and visualization. Preferred
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Science, Statistical Physics, or any other related field. The skills that we are looking for include: Statistical analysis & causal inference Data management, collection & visualization Social network analysis & graph
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experiments, natural language processing, and network modeling. Experience mentoring students. Expertise in Python and TensorFlow. Proficiency in R, SQL for data analysis and visualization. Preferred
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Associate who will focus on creating innovative uncertainty quantification and visualization algorithms that enable trusted visual representation and analysis of large-scale 2D/3D scientific data
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; data collection and analysis. The various tasks must be able to be performed independently: Stereotaxic surgery in mice for AAV-based sensors injection and implantation of intracerebral recording devices
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and creation of study designs and oversee data collection. Essential Functions: 1.) Data Analysis and Dissemination of Results The Postdoctoral Researcher will analyze data collected from on-going
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to the processing and analysis of data from the test phases. • Ensure implementation in compliance with ethical standards, IT security, and data confidentiality. • Contribute to documentation, project reports, and
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of the project is to develop modular, interoperable R packages that can be integrated with new user-friendly visual data processing applications for metabolomics data analyses in life-sciences, which can be used
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include statistical analysis, data management and collection, causal inference, network analysis, graph theory, visualizations, and online tool development. Experience in conducting online controlled