Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
: Essential criteria MSc. in Neuroscience, Physics, Computer Science, or a related field Strong background in computational neuroscience and data analysis Proficiency in programming (e.g., Python, MATLAB, and
-
data Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will
-
You have a strong affinity for both experimental science and advanced data analysis using Matlab and/or Python. You have a deep understanding of muscle exercise physiology/or human physiology, from
-
no later than one month after the publication of recruitment results. Knowledge of R/Python or related programming languages is welcome. Additional scientific activity (publications, conference
-
neuroscience and data analysis Proficiency in programming (e.g., Python, MATLAB, and similar languages) Experience with large-scale neural network simulations Experience with analysing large-scale neural
-
learning models. b) Experience in using data analysis software (e.g., SPSS, JASP, JAMOVI) and R and/or Python programming. 5. Workplace: The workplace is located at the Center for Psychology at University
-
presentation skills in English. Solid programming skills in Python, MATLAB, or Julia and knowledge of standard optimization tools (such as CasADi or Gurobi). Strong skills in mathematics, excellent capacity
-
background in programming (Matlab, python, …) familiar with Multi-body dynamic tools good knowledge of statistics familiar with signal processing, operational modal analysis Personal characteristics Strong
-
numerical modelling skills (e.g. Python, MATLAB, CFD codes) Personal characteristics Flexible and dependable Collaborative and independent Innovative and open minded Strong analytical skills Emphasis will be
-
international publications as first author in high-ranked peer reviewed journals. The list of publications must be included in the curriculum with a clear indication of the statistical analyses used, along with