Postdoctoral Fellow: AI for Neuroscience & Brain Computing

Marquette University Clg-Nurse

Northern (KY)

Hybrid

USD 52,000 - 76,000

Full time

10 days ago

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Job summary

Marquette University invites applications for a Postdoctoral Fellow (4-CYTE Collaborative) in the Department of Biomedical Sciences. The successful candidate will develop AI/ML models to analyze large biomedical datasets and simulate brain systems to advance neuroscience and neuromorphic computing research.

This limited-term appointment emphasizes interdisciplinary collaboration, publication, and mentoring of graduate students, with a projected end date of June 30, 2027.

Qualifications

  • Strong knowledge of advanced machine learning, deep learning, and AI techniques.
  • Proficiency in Python, TensorFlow, PyTorch, or similar frameworks.
  • MS or higher degree (PhD preferred) in Computational Neuroscience, Computer Science, Bioinformatics, or a related field with demonstrated ability to implement and optimize AI/ML models for biomedical datasets.

Responsibilities

  • Develop AI/ML Models: Create models for neuroscience and neuromorphic computing.
  • Simulate Brain Systems: Model brain molecules, cells, and circuits.
  • Analyze Diverse Data: Work with clinical, omics, and imaging data.
  • Advance Therapeutic Discovery: Apply AI to identify new treatments.
  • Develop Computational Tools: Build AI-powered neuroscience and educational tools.
  • Collaborate Across Disciplines: Work with neuroscientists, clinicians, and engineers.
  • Publish Research Findings: Share results in journals and conferences.
  • Mentor and Train: Guide junior researchers and graduate students.

Skills

AI/ML Expertise
Programming Skills
Python
TensorFlow
PyTorch

Education

MS or higher degree in Computational Neuroscience, Computer Science, Bioinformatics, or related field

Tools

Python
TensorFlow
PyTorch

Job description

Marquette University invites applications for a Postdoctoral Fellow (4-CYTE Collaborative) in the Department of Biomedical Sciences. The successful candidate will develop AI/ML models to analyze large biomedical datasets and simulate brain systems to advance neuroscience and neuromorphic computing research.

This limited-term appointment emphasizes interdisciplinary collaboration, publication, and mentoring of graduate students, with a projected end date of June 30, 2027.

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