181 machine-learning "https:" "https:" "https:" "https:" "U.S" Fellowship positions in Norway
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Norwegian courses. Required selection criteria You must have completed a doctoral degree in (machine learning, statistics, or similar). You must have a professionally relevant background in algorithms
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pressure-build ups in potential multi-site storage licenses. The research will help to suggest best practices for machine learning integration in de-risking CO2 storage sites. We seek a candidate with a
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of partial differential equations (PDE). Examples of models in the scope of the project include particle models, stochastic PDE and models from fluid dynamics and machine learning. What skills are important in
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be developed specifying the competencies that the research fellow is expected to acquire. The institution is responsible for ensuring that the career plan is followed up and that the research fellow
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the program’s content and learning outcomes for the PhD program in Fine Arts. It is a prerequisite for employment that the faculty has the supervisory capacity and infrastructure necessary to support
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member of the National Insurance Scheme which also include health care services. More practical information about working and living in Norway can be found here: https://uit.no/staffmobility Application
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Machine Learning. We are looking for a motivated candidate, who has interest in both theoretical, methodological and applied research in anomaly detection in sequential data settings, and who is excited
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optimization. Experience with quality-diversity methods is a plus. • Experience with machine learning and artificial intelligence. • Strong programming skills (e.g., Python, C++), and familiarity with ROS
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an innovative transdisciplinary teaching initiative focused on collaborative learning for sustainability transformations. The successful candidate will play a key role in researching and evaluating
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in coding e.g. Python, or MATLAB Writing skills for research papers. Experience in applied machine learning, fault diagnosis, laboratory testing and development is a plus. Good knowledge in Norwegian