Sort by
Refine Your Search
-
Category
-
Field
-
statistics of our university Contact details of 2 referees Please note that we exclusively accept applications submitted through our online application portal before 30 June 2024. We will not consider
-
analyze the data. Your task will be to correlate biomarkers derived from rTMS and NIRI with clinical outcomes, in order to personalize stroke rehabilitation and improve the recovery process. Statistical
-
machine learning, seismic monitoring/imaging, statistical seismology, and geomechanical modelling. Project team members include Dr. Federica Lanza (ETH Zürich), Dr. Luigi Passarelli (INGV), and Dr. Antonio
-
rigorous statistics training in causal inference, and a strong command of Stata and/or R have, at the time of appointment, completed a Master’s degree in Economics, Political Science, Data Science, or a
-
, computer science, or related fields. This includes, but is not limited to, psychology, mathematics, engineering, physics, or statistics. Geographical Eligibility: We are seeking candidates who are currently
-
science, statistics, applied mathematics, or related fields Proficiency in developing and deploying machine learning models (e.g., using Python, R) Experience in data wrangling and feature engineering
-
, statistical mechanics, Monte Carlo modelling is an advantage Your workplace Your workplace We offer ETH Zurich is a family-friendly employer with excellent wokring conditions. You can look forward