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if opting for the teaching duties. Driver’s license class B (valid for Svalbard). Advantageous knowledge and skills Competence in or strong motivation to learn citizen science methodologies or community-based
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estimators, or machine learning) or other advanced statistical modelling. Advanced programming skills in Stata, R, Python or a similar software. Strong academic background with publications in international
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data, MRI data, and other types of data. Contribute to projects at LCBC with data analysis, development, and implementation of advanced machine learning models. Write and publish scientific articles
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functional data ”, led by Associate Professor Valeria Vitelli. Successful candidates will work on Bayesian models for unsupervised learning when multiple data sources are available, mostly tailored to the case
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learning models. Write and publish scientific articles. Qualifications Qualification requirements PhD in a relevant field before commencing the position, such as psychology, computer science, and
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for an associate professor position. A career plan shall be developed for the postdoctoral fellow, specifying the competencies the postdoctoral fellow should acquire. UiO is responsible for following up
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/Machine Learning (AI-ML) approaches to meeting this challenge. Possible topics include, but are not limited to: storylines for plausible narratives of regional climate change, novel algorithms for rare
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challenge. This project aims to explore data-driven Artificial Intelligence/Machine Learning (AI-ML) approaches to meeting this challenge. Possible topics include, but are not limited to: storylines
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variables, fixed effects for panel data, matching estimators, or machine learning) or other advanced statistical modelling.- Advanced programming skills in Stata, R, Python or a similar software.- Strong
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the postdoctoral fellow should acquire. UiO is responsible for following up on the career plan and ensuring that the postdoctoral fellow has access to career guidance throughout the postdoctoral term. A PhD position