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Field
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Programming skills in Python, R, and/or GIS tools Highly valued: Background in LiDAR point-cloud analysis and vegetation structure analysis or habitat monitoring Experience applying AI or machine learning
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-team and contribute to a clinical trial research project of national significance for youth mental health. The project applies modern data science methods to build explainable and integrated machine
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data science methods to build explainable and integrated machine learning models that can be utilised by health services to make real-time, data-informed clinical decisions in youth mental health care
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experimental design. Collaborate with another postdoc in the NIH Center to use scientific machine learning (SciML) to automatically select mathematical models from data. Minimum Requirements: Ph.D. in applied
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Computer Engineering, Faculty of Science and Technology, University of Coimbra. This international tender shall be conducted pursuant to paragraph 1 of Article 57 of the Lei Geral do Trabalho em Funções
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on food craving and health-related decision-making. To this purpose, we will use a combination of brain imaging, behavioral measures, and machine-learning techniques. Activities The successful candidate
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Topics and bibliography Topic: Artificial Intelligence, Deep Learning, Computer Vision For further details, please contact us at the e-mail address vlad.hondru@fmi.unibuc.ro , contact person: Asist. Drd
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Integrating purpose science to enhance leadership and organizational performance Scaling purpose science to create accessible and personalized learning experiences Position Summary : This role is ideal for a
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GNSS, wireless navigation and machine learning is desirable Additional skills that are highly appreciated in this position are the willingness to work hard and to learn more about the fascinating
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research techniques; or an equivalent combination of education and experience. Basic computer skills (Microsoft Office Products, Canva) Desired Qualifications Experience working with children Excellent