Neuroimaging Research Fellow
2 days ago
About the Position:
We are seeking a highly skilled and motivated individual to fill the position of Postdoctoral Research Fellow in our laboratory at the University of California. This is an exceptional opportunity to work on cutting-edge projects that aim to develop advanced computational models and methods for neuroimaging data analysis.
The successful candidate will have a strong background in one or more of the following areas: graph theory, pattern recognition, and computational modeling; coding and software engineering skills; MRI image acquisition, reconstruction, and processing; genomics, informatics, and spatial transcriptomics; fMRI, EEG, and MEG data analysis; neuro-image analysis; familiarity with ADNI, PPMI, HCP, ABCD, and other public neuroimaging databases; signal, image, and vision processing; experience in software development and tools such as MatLab, Python.
About the Lab:
Our laboratory is led by Dr. Ashish Raj, a renowned researcher in brain network modeling and machine vision. We provide excellent training opportunities and a collaborative atmosphere that encourages innovation and creativity. Our team is composed of experts from diverse backgrounds, including computer science, electrical engineering, physics, applied mathematics, and radiology.
Responsibilities:
- Develop advanced computational models and methods for neuroimaging data analysis
- Analyze and interpret large-scale neuroimaging datasets
- Design and implement efficient algorithms for data processing and visualization
- Collaborate with researchers from diverse backgrounds to integrate knowledge and expertise
Requirements:
- Advanced research degree (Ph.D. or equivalent) in neuroimaging, neuroinformatics, computer science, electrical engineering, physics, applied mathematics, biomedical engineering, or neuroscience
- Strong expertise in one or more of the above-mentioned areas
Benefits:
- Competitive salary: $60,000 - $80,000 per annum
- Opportunities for professional growth and development
- A dynamic and collaborative research environment
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