Research Specialist
Há 2 dias
This is a compelling opportunity to contribute to the development of computational skills in neuroscience research and analysis of datasets related to neurodegenerative diseases.
The successful candidate will work under the mentorship of host labs at Howard University or partner institutions, focusing on computational approaches to neurodegeneration. The fellow will gain hands-on experience analyzing neurophysiological, genomic, or imaging data using tools like Python, R, or machine learning frameworks.
Key Responsibilities:- Assist in analyzing datasets 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) or a strong interest in learning these skills.
Applicants should have a demonstrated interest in neurodegeneration research and be eager to collaborate under mentorship guidance.
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