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Field
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coding experience with e.g. Python/Matlab/R Practical experience with High Performance Computing, and scientific programming and a willingness to learn to work with high-performing computing systems
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response windows) and balance metrics using appropriate software (e.g. MATLAB, EEGLAB, BrainVision Analyzer). Manage research data in line with ethical and GDPR standards, including anonymisation, secure
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. Knowledge of programming languages (e.g., C, C++, Python, R, Matlab) is preferred. Primary Responsibilities: The successful candidate(s) will be expected to carry out research under minimal supervision
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. • Demonstrated ability or potential to lead graduate student research. • Experience with Matlab, R, Python, C++, or Julia. • Experience collecting data from human subjects. Exempt: Not eligible for overtime
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++, ROS, Matlab, etc.). You should have a strong vision to evaluate and demonstrate the research findings in real life operating conditions, in an approach to close the gap between pure theory and
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, or a closely related field. Proficiency in analysing large climate and environmental datasets using statistical or programming tools (e.g., Python, R, MATLAB). Capability of both managing research
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related field. Proficiency in one or more of the following: in vivo electrophysiology, two-photon imaging, animal surgery, behavioral design, programming languages (Python/MATLAB), and data analysis
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Abilities Training and/or experience with: Programming of behavioral experiments and data analysis (MATLAB, Python, or equivalent), eye-tracking software and hardware (Eyelink or equivalent), MRI, eye
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sleep; performing anatomical tract tracing; analysing existing and new datasets using python and Matlab using advanced statistical methods such as machine learning; collaborating with other members
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(or a related field), is proficient in both mechanistic modeling and ML frameworks (e.g., TensorFlow, PyTorch), and has strong programming skills (Python/MATLAB/C++). Join us to tackle sustainability