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networks Scientific programming for simulation, data analysis, and reproducible workflows (e.g., Python/Julia/Matlab/C++) Machine-learning–inspired methods for reservoir/neuromorphic computing and
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Solid skills in statistical modeling & probability theory Experience in coding (Python, R, Julia, Matlab...) Motivation to work closely with experimental researchers Curiosity about biological systems
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linear algebra, and algorithm design. Proficiency in Python and/or MATLAB; familiarity with numerical optimization libraries and scientific computing. Strong written and oral communication skills; ability
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, neuroanatomy, rodent behavior and/or bioinformatics is an advantage. Previous experience working on neuropeptides. Programming skills (MATLAB, Python) and ability in data analysis and visualization is a strong
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, transforms, optimization). Programming and simulation experience (for example MATLAB, Python). Strong written and oral communication skills in English. Ability to work independently and in teams. Curious
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field, e.g., neuroscience, neurology, data processing/analysis. Key skills: proficiency and experience in coding relevant to data wrangling/processing (e.g., python, R, MATLAB); experience with command
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related area, coupled with experience of conducting neuroscience research demonstrated by a strong publication record with high-quality outputs. Experience with mathematical programming (e.g., MATLAB, R
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Engineering. Solid knowledge of AI/ML, embedded systems, and IoT architecture. Programming skills in Python, ROS, TensorFlow, or MATLAB. Strong interest in applied AI and autonomous systems development
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, instrumentation, and performance measurement. Experience in processing environmental data (Python, R, MATLAB). Interest in integrated approaches (energy–environment–biodiversity). Skills in UAV data analysis
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-for-year basis may be substituted Skills: Listening, verbal and written communication, analytical, and research skills Statistical, graphical analysis, and/or computer programming skills (MATLAB, Python