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. Experience in coding (e.g., Python/R/Matlab) and experience in behavioural experimentation, statistics, or machine learning is desirable but full training will be provided. Applicants with an interest in human
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skills include solid competency in programming (e.g. Python, Matlab, C++, etc) for data analysis and control of experimental setups, experience in micromagnetic or multiphysics simulations, and knowledge
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electrophysiological data analysis, modeling, statistics, scientific writing, and programming in MATLAB, Python, or similar coding language. Preferences The ideal candidate has a proven track record of funding and
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, and cyber-physical systems using languages such as MATLAB/ Simulink, Python, and C++ Develop software that integrates sensing, perception, controls, data processing, and actuation on mobile and vehicle
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, or related field Strong background in multimodal neuroimaging, neuromodulation techniques, cognitive studies. Excellent analytical and programming skills (Matlab, Python). Experience with machine
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of 3 years of relevant research experience. Familiarity with sensors and structural design. Strong written and oral communication skills. Proficiency in programming languages such as C/C++, MATLAB
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Science, Education, or related discipline Proficiency in programming (MATLAB, Python, R) Experience using advanced statistics Ability to build advanced experimental interfaces (using Matlab, Psychopy
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modelling and analysis is a strong asset. You are proficient working with programming languages such as Python, MATLAB, or similar, and are interested in combining analytical modelling with data-driven or AI
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students Strong background in laboratory experiment or numerical computation Familiar with Matlab, C++, Python, Java, or other programming language Proficient in one of the software packages: PFC, VISSIM
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pipelines (Python preferred). Experience with Bayesian Generalized Linear Models (NumPyro, RSTAN preferred). Experience with developing visualization of electrophysiological data (e.g. tableu, matlab