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, Python, Matlab, and C++) would be advantageous. The appointee will work with a research team to study the methodologies for estimating population immunity against infectious diseases, to analyse large and
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MATLAB, Python, or similar platforms, with strong statistical analysis skills. The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive
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project activities and writing reports Your Profile MSc or PhD in a relevant field Experience with Machine Learning modeling Coding experience, preferably Python Basic knowledge of databases tools and
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Development – 80% ● Develop a control system for a robot with multiple degrees of freedom. ● Coding software routines for robotic exoskeleton using Python and/or C++. ● Debugging and embedding software
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the ability to analyze data using tools like Python. On a transversal level, the candidate should demonstrate autonomy, experimental rigor, and initiative in designing and optimizing protocols. Strong written
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administration), the bash language, and computer task schedulers for computing clusters. • Practical knowledge of the Python language and its scientific computing and data analysis libraries. Website
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of Python programming and machine learning tools, deep learning, and large language models is desirable. The fellow will be based at the Engineering College of the São Paulo State University (UNESP), in its
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knowledge in at least of the following techniques : EEG, MRI, TMS • Good programming skills (python, R, matlab). • Knowledge of legal and deontological frameworks • English : B1 to B2 Know-how • Organise
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for those who can also program in Python and know standard network analysis techniques and metrics such as community detection and centralities. Prefernce for those with experience in geo-spatial analysis
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developers, electrical and mechanical engineers. Experience and strong understanding of machine learning algorithms, mathematical modelling, and applications of AI. Proficiency in Python, leading ML frameworks