AI-Driven Insights into Paraspinal Motor Units in SCI in Birmingham

AI-Driven Insights into Paraspinal Motor Units in SCI in Birmingham

Birmingham Full-Time 19350 - 23650 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Explore motor unit properties in paraspinal muscles using cutting-edge AI and EMG techniques.
  • Company: University of Birmingham, a leader in neuroscience and clinical research.
  • Benefits: Fully funded PhD, research training, and clinical exposure.
  • Other info: Join a multidisciplinary team and connect with national and international networks.
  • Why this job: Make a real impact on recovery after spinal cord injury with innovative research.
  • Qualifications: Passion for neuroscience and AI, with a strong academic background.

The predicted salary is between 19350 - 23650 Β£ per year.

University of Birmingham invites applications for a fully funded Ph D project exploring characterising motor unit properties in paraspinal muscles using high-density surface EMG and pattern learning to predict recovery after spinal cord injury.

The project blends neuroscience, AI techniques and clinical training across national and international networks.

The student will receive research training, clinical exposure, and support within the AIM DTP, with supervision from a multidisciplinary team.

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AI-Driven Insights into Paraspinal Motor Units in SCI in Birmingham employer: ACAPS

The University of Birmingham is an exceptional employer, offering a vibrant academic environment that fosters innovation and collaboration in the field of neuroscience and AI. With access to cutting-edge research facilities and a supportive multidisciplinary team, students benefit from comprehensive training and clinical exposure, paving the way for meaningful contributions to spinal cord injury recovery. The university's commitment to employee growth and development ensures that every individual can thrive in their academic journey.

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Contact Details:

ACAPS Recruitment Team

We think you need these skills to ace AI-Driven Insights into Paraspinal Motor Units in SCI in Birmingham

High-Density Surface EMG
Pattern Learning
Neuroscience
AI Techniques
Clinical Training
Research Training
Data Analysis