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Post Doctoral Research Associate

Post Doctoral Research Associate

The University of Texas at Arlington

Arlington, TX • On-site

Full-time

Posted 12 days ago

University Of Texas At Arlington rating

7.3

Company rating: 7.3 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

283rd of 532 rated colleges and universities

Job description

Job Summary:
The University of Texas at Arlington is seeking a Post Doctoral Research Associate in the Department of Bioengineering. This role involves analyzing imaging data, developing novel methods for the integration of multimodal neuroimaging and clinical data, and building large-scale deep learning models to create predictive network models in psychiatric disorders.
Responsibilities:
• Neuroimaging data collection and management
• Data analysis and model building
• Develop advanced deep learning and machine learning algorithms
• Assist with organizing large-scale multimodal neuroimaging datasets, brain imaging quality control, and processing
• Assist with grant applications, manuscript preparation, and supervision of RAs and volunteers
• Performs other duties as needed
Qualifications:
Required:
• PhD degree in biomedical engineering, electrical engineering, computer science, biostatistics, or a related field
Preferred:
• Doctor degree in biomedical engineering, electrical engineering, computer science, biostatistics, or a related field
• Experience in working with an MRI scanner
• Experience in developing state-of-the-art Machine Learning algorithms
• Experience with one or more deep learning libraries such as PyTorch, TensorFlow, or Keras
• Hands-on experience with neuroimaging processing pipelines
• Excellent writing and communication skills
• Strong interest in neuroscience and psychiatric research
Company:
UTA is a growing research powerhouse committed to life-enhancing discovery, innovative instruction, and caring community engagement. Founded in 2014, the company is headquartered in Arlington, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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