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for generating high‑quality diagnostic images and enabling precise visualization of biological processes at the molecular level. Working in close collaboration with scientific partners, the project aims to refine
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Responsibilities Responsibilities include: Leading a project in coral stem cell isolation, characterization, preservation, and propagation Develop and implement data analysis and visualization strategies, perform
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of neuromodulatory neurons and circuits in the brain. We use a combination of molecular and systems neuroscience tools to visualize, record, and manipulate neural populations to understand their function and
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Max Planck Institute of Animal Behavior, Radolfzell / Konstanz | Konstanz, Baden W rttemberg | Germany | about 2 months ago
. The research will be conducted in the Centre for Visual Computing of Collectives (VCC), part of the University of Konstanz and the Max Planck Institute of Animal Behavior. The VCC building is a modern, purpose
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 23 days ago
novel algorithms for visual data analysis, · work with real/synthetic datasets and design data processing pipelines, · integrate the developed algorithms into a comprehensive, functional software
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electrochemical techniques. Experience with data visualization and analysis software. Background Investigation Statement: Prior to hiring, the final candidate(s) must successfully pass a pre-employment background
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activities in this project Support other electrochemical studies (e.g., batteries) within the group Your network and team Aalto University established a characterization platform for visualization and analysis
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Singapore’s AI-for-Science ecosystem. Key Responsibilities: The candidate is expected to conduct the following research works Conduct independent and collaborative research on unified visual understanding
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visual methods. By combining a global mapping of key actors, data flows, carbon credits, and financial transactions with in-depth case studies and insights from farmers themselves, the project will provide
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, processing, visualization, interpretation…) Analyze single-cell and spatial transcriptomics datasets Decipher metabolomic patterns Perform high dimensional data analysis and integrative ‘omic’ data analysis