Sort by
Refine Your Search
-
skills : We expect a candidate with a strong background in machine learning or statistics. The candidate must also be proficient in high-level languages like Python. Familiarity with single-cell date and
-
health tools. Basic proficiency in data analysis (Python or R); experience with speech analysis libraries or NLP is an asset. Strong scientific writing skills and a collaborative spirit. High motivation
-
qualifications: Masters degree in cognitive science, vision science, neuroscience, or related fields Programming skills (Python, MATLAB) Good communication skills in English Experience with experimental data
-
experience working with cohort data or electronic health records is an asset; Interest in digital health and diabetes research; Proficiency in R and/or Python; Excellent writing and communication skills in
-
related field is required. Prior experience in psychophysics and experimental psychology is desirable. Strong computational skills are essential, and proficiency in programming (e.g., Python or MATLAB) is
-
: Programming in Python and/or R Data science (e.g., tidyverse, pandas) Machine learning (e.g., scikit-learn) Deep learning (e.g., PyTorch, Keras3) (Optional) bio-signal processing and brain imaging (e.g., EEG
-
; environmental sciences; physical chemistry; etc. Skills Knowledge Advanced to proficient knowledge of scientific programming (e.g., Python, R, Matlab, ...) Previous experience in time series analysis of air
-
ecology or biostatistics) Interest in plant chemistry Proficiency in English (both oral and written) Experience in these areas desirable: Advanced biostatistics (R, Python, etc) Plant ecology Insect