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While position responsibilities vary, every member of our community is expected to foster a culture of belonging and a healthy work environment by communicating across differences; being cooperative
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should have a good knowledge of scientific programming (e.g., Python, C, Fortran) and finite-element or finite-difference schemes. It will be an asset if the candidate has prior research experience in
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
these research areas is desirable. The applicant should be comfortable with running at least basic statistical analysis and ideally have R, MaUab or Python coding experience. The applicant will be
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modeling and environmental data analysis, such as Python, MATLAB, Fortran, C/C++, or comparable languages and tools. Ability to work with large datasets and to integrate these data with acoustics models
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, engineering, or a related quantitative field - Knowledge of statistics - Interest in machine learning - Experience with R and/or Python If you are interested in this project, please select ten Cate your group
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, Python-based proof-of-concept. Develops and maintains robust software (primarily in Python) for DICOM tag de-identification and replacement, folder reorganization, and automated data quality control and
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relevant discipline Experience in fish welfare and behaviour Experience in image or video analysis, including using AI/computer vision tools Experience with R or Python for data analysis Experience designing
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infrastructure over time, under different scenarios. Expected Results: 1) Development of geometric deep learning, time-series data mining, and agent-based approaches incorporating microbial information for DWDSs
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different nationalities, with whom you will work together in an informal atmosphere. This is your team You will be part of the research group Tropical Botany (Dr. Angelica Cibrian Jaramillo, Dr. Paola De Lima
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Description Job description Game theory is rapidly gaining traction in several engineering applications as the natural framework for multi-agent decision making. Yet, unlike optimization, game theory has