Computational Neuroscience Research Fellow
2 semanas atrás
The Neurodegeneration Computational Fellows Training Program is seeking a highly motivated individual to participate in a comprehensive training program focused on developing and applying computational skills in neuroscience research. The selected candidate will engage in interdisciplinary research within a host lab at Howard University or a partner institution, such as NIH/NINDS, focusing on computational approaches to neurodegeneration.
Key Responsibilities- Assist in analyzing datasets (e.g., MRI, genomic, or microbiome data) using computational tools under the guidance of a mentor, identifying patterns or biomarkers in neurodegenerative diseases.
- Learn and apply statistical or machine learning methods to support research on disease mechanisms, following lab protocols.
- Support data processing tasks, such as image analysis or sequence alignment, using provided software or scripts.
- Prepare research summaries and present findings at NDCF symposia, lab meetings, or external conferences.
- Contribute to team discussions, collaborating with lab members to integrate computational and experimental findings.
- Education: Bachelor's or Master's degree in neuroscience, biology, computer science, bioinformatics, or a related field.
- Experience: Some exposure to programming, data analysis, or neuroscience research through coursework, internships, or personal projects.
- Skills: Basic familiarity with computational tools (e.g., Python, R, MATLAB, or command-line interfaces) or a strong interest in learning these skills.
- Comprehensive medical, dental, and vision insurance, plus mental health support.
- PTO, paid holidays, flexible work arrangements.
- Competitive salary, 403(b) with company match.
- Ongoing training, tuition reimbursement, and career advancement paths.
- Wellness programs, commuter benefits, and a vibrant company culture.
This position has no supervisory authority. The fellow will work directly under the supervision of a principal investigator or mentor in a host lab affiliated with the NDCF program, receiving guidance on research tasks and computational training.
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