Ariadne.ai
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About
Ariadne.ai offers a suite of AI-powered tools for biomedical image analysis. Their flagship product, SPATIAL, is a scalable, browser-based platform for multiplex image analysis (spatial omics). They also provide solutions for neuron shape analysis (LMtrace®), mitochondrial and ER segmentation (3dEMtrace), whole brain cell counting (socomap), and high-throughput TEM tomography segmentation (TomoTrace). Ariadne.ai's services are designed to automate complex image analysis tasks, providing fast and budget-friendly solutions for researchers. The company boasts a multidisciplinary team of experts and works with leading research institutions worldwide.
Platform
Task
Features
• browser-based
• multiplex image analysis
• consistent quality
• scalable throughput
• automated biomedical image analysis
• automated whole brain cell counting and mapping
• automated segmentation of mitochondria, er and other ultrastructural cellular features
• automated neuron shape analysis
Job Opportunities
Intern for machine-learning classification of biomedical image data
Ariadne.ai provides AI-powered tools for automated biomedical image analysis, offering scalable and cost-effective solutions for researchers.
Benefits:
Work on your own exciting project.
On-the-fly training
Interesting project in biomedical computer science.
Support from our scientist and developer team.
Insight into an innovative, young company.
Education Requirements:
Student in biology, physics or computer science or related disciplines
Experience Requirements:
Experience in biomedical image analysis and Python
Other Requirements:
Reliable and accurate working attitude with an eye for the details.
Excellent communication and presentation skills and the ability to express thoughts logically and succinctly.
Fluent in English language, German would be a plus
Responsibilities:
Work on a machine-learning pipeline for biomedical imaging data
Explore and develop a workflow to classify images using Python
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