Postdoc: Multimodal Neuroimaging & Deep Learning

The University of Texas at Arlington; Arlington (TX); On-site; USD 50,000 - 70,000; Full time

Job summary

The University of Texas at Arlington is seeking a Post Doctoral Research Associate in the Department of Bioengineering. The role focuses on analyzing imaging data, developing novel methods for multimodal neuroimaging, and building large-scale deep learning models. Ideal candidates will have a PhD in biomedical engineering or a related field, with preferred experience in MRI scanners and machine learning algorithms. Strong communication skills and an interest in neuroscience are also essential for this role.

Qualifications

• PhD degree is required in a related field.
• Experience working with MRI scanners preferred.
• Experience in developing state-of-the-art Machine Learning algorithms.

Responsibilities

• Manage neuroimaging data collection.
• Analyze data and build predictive models.
• Assist with organizing multimodal neuroimaging datasets.

Skills

Experience with neuroimaging processing pipelines

Development of Machine Learning algorithms

Excellent writing and communication skills

Strong interest in neuroscience and psychiatric research

Education

PhD in biomedical engineering, electrical engineering, computer science, biostatistics or related field

Tools

PyTorch

TensorFlow

Keras

Job description

The University of Texas at Arlington is seeking a Post Doctoral Research Associate in the Department of Bioengineering. The role focuses on analyzing imaging data, developing novel methods for multimodal neuroimaging, and building large-scale deep learning models. Ideal candidates will have a PhD in biomedical engineering or a related field, with preferred experience in MRI scanners and machine learning algorithms. Strong communication skills and an interest in neuroscience are also essential for this role.