Register now After registration you will be able to apply for this opportunity online.
This opportunity is not published. No applications will be accepted.
Computational modelling of human fear memory
The goal of the project is to improve computational/biophysical models of autonomic nervous system readouts of human fear memory.
Keywords: Fear conditioning, PsPM, biomedicine
Your project: you will use standard Matlab pipelines to analyse existing fear conditioning data sets containing several readouts. You will then work on developing and validating various improvements to the biophysical models used in this approach. The project can be adapted to a 12 month UZH or 6 month ETH MSc thesis, and parts of it are suitable for 3 month ETH semester projects.
Your project: you will use standard Matlab pipelines to analyse existing fear conditioning data sets containing several readouts. You will then work on developing and validating various improvements to the biophysical models used in this approach. The project can be adapted to a 12 month UZH or 6 month ETH MSc thesis, and parts of it are suitable for 3 month ETH semester projects.
Your profile: We seek either of these two profiles, depending on your background:
(1) You have a background in engineering, computer science, physics, or related fields, and a strong interest in understanding biological facts to put the data analysis into a wider context. An ability to conduct data analyses (e.g. in Python, R, or MATLAB) is required.
(2) Your background is in neuroscience, biology, psychology, or related fields, and you have first experience with programming. An ability to analyze acquired data in MATLAB or R, or a strong interest in learning to do so is required.
Your profile: We seek either of these two profiles, depending on your background: (1) You have a background in engineering, computer science, physics, or related fields, and a strong interest in understanding biological facts to put the data analysis into a wider context. An ability to conduct data analyses (e.g. in Python, R, or MATLAB) is required. (2) Your background is in neuroscience, biology, psychology, or related fields, and you have first experience with programming. An ability to analyze acquired data in MATLAB or R, or a strong interest in learning to do so is required.
Prof. Dr. Dominik R. Bach
dominik.bach@uzh.ch
www.bachlab.org
Prof. Dr. Dominik R. Bach dominik.bach@uzh.ch www.bachlab.org