Ph.D. Student in Systems Neuroscience | Ph.D. Student in Systems Neuroscience (m/f/d)
Friedrich-Alexander-Universität Erlangen-Nürnberg
Job Summary
This Ph.D. student position offers an exciting opportunity to delve into the neural dynamics and coding underlying instinctive behaviors. The successful candidate will conduct experiments using advanced techniques such as in vivo electrophysiology, optogenetics, and chemogenetics, followed by rigorous data processing and signal analysis to uncover patterns in neural network oscillations. Working collaboratively within a research team, the role involves discussing findings, planning future studies, and presenting research outcomes. Ideal candidates will possess a Master’s or Ph.D. in neuroscience or a related field, coupled with a strong motivation to develop skills in signal processing and data analysis. This role is attractive due to direct mentorship, access to state-of-the-art facilities, and potential for international collaborations, all within a supportive environment that prioritizes work-life balance.
Required Skills
Education
Master’s or Ph.D. (or equivalent) in neuroscience or a related field
Experience
- Prior experience with in vivo brain activity recording and behavioral methods is an advantage
- Strong motivation to develop skills in signal processing and data analysis
- Ability to work independently and as part of a team
Languages
Additional
- Not specified
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