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the discipline, demonstrated by a PhD (or nearing completion) or equivalent in Mathematics and Statistics, to develop teaching programmes, and teach and support learning; Please ensure you read the Job Description
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of studies (bachelor + master) in the European Union. You have a strong background in mathematical statistics; familiarity with empirical process theory, causal inference or debiased machine learning is a plus
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, Statistics, or a related field, and with the interest and ambition to carry out a PhD study within the transport science domain. The successful applicant will work on research focused on the fleet replacement
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their performance. To achieve this, you will use your skills in advanced mathematical and statistical techniques. The project is situated in the context of efficient online learning, with a focus on scaling with
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Master’s degree in Computer Science, Mathematics, Physics, Statistics, Artificial Intelligence, Machine learning or another relevant field. You have a strong background in machine learning and deep learning
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The successful candidates will work at the machine learning group at UiT and will formally be affiliated with the Department of Mathematics and Statistics and collaborate closely with researchers at the Department
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will also co-supervise ambitious Master’s students with their research projects. Profile You have a Master’s degree in Computer Science, Mathematics, Physics, Statistics, Artificial Intelligence, Machine
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Description The position A PhD position in machine learning for graphs and time series data is available at the Department of Mathematics and Statistics , Faculty of Science and Technology . The position is
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studentship affiliation The successful candidates will work at the machine learning group at UiT and will formally be affiliated with the Department of Mathematics and Statistics and collaborate closely with
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your application! We are looking for a PhD student in Machine Learning. Your work assignments The research focus for the advertised position is machine learning for forensic science. The project involves