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Job Summary
The Andersen Lab at Caltech is seeking a driven and enthusiastic team member to conduct analysis on intracortical single-unit recordings. The successful candidate should possess expertise in neural dynamical systems, control theory, and decoding algorithms. Additionally, they must exhibit strong organizational skills, a strong work ethic, and exceptional communication abilities. We are looking for individuals who possess a natural curiosity for the neural mechanisms of computation and motor control, and who thrive on tackling challenging mathematical and coding tasks.
Essential Job Duties
- Develop models of the human brain and apply them to laboratory data to discover fundamental mechanisms that underlie motor control.
- Assist in the collection, analysis, and review of experimental data for publication and presentation.
- Other duties as assigned.
Basic Qualifications
- Bachelor’s degree with 2 years of relevant work experience.
- Experience in Python and MATLAB.
- Experience in neural decoding.
- Must possess a high level of initiative and the ability to work with little supervision.
- Excellent communication skills; willing to proactively seek help and advice.
- Broad interest in science.
Preferred Qualifications
- Master's degree in engineering.
- Experience in machine learning and deep learning.
- Previous work with intracortical human recordings
Required Documents
- Resume
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