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Stig Brøndbo 30th April 2024 Languages English English English Faculty of Science and Technology PhD Fellow in Deep Learning and statistics for heterogeneous data Apply for this job See
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strong background in computer science, programming, data analytics (statistics and/or machine learning) and/or data security. Applicants must document fluency of in English and be able to work in an
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at improving and refining present AI classification methodology using novel combinations of statistical methods and Deep Learning (DL). The position is for a period of four years. The nominal length of the PhD
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develop a machine learning based monitoring system that leverages spoken language processing (SLP) and natural language processing (NLP) of speech recorded at home to calculate relapse risk. The developed
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at the Department of Mathematics and Statistics , Faculty of Science and Technology in machine learning for graphs and time series data. The position is a fixed term position for a duration of 2,5 years. Appointment
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Stig Brøndbo 2nd May 2024 Languages English English English Faculty of Science and Technology Postdoctoral Research Fellow in Machine Learning for graphs and time series data Apply for this job See
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PhD Fellow in "Risk-Informed decision-making for vessel routing and navigation in the Arctic waters"
machine learning techniques for making risk-informed decisions for Arctic offshore operation”. The PhD Candidate will have also close collaboration with the Laboratory of Signal and Risk Analysis (LASAR
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PhD Fellow in "Risk-Informed decision-making for vessel routing and navigation in the Arctic waters"
The position A PhD position is available at the Department of Technology and Safety , Faculty of Science and Technology in “Leveraging ship AIS data using machine learning techniques for making risk-informed
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must have received your PhD before the start-up date of the position. We are looking for applicants with a strong interest and expertise in computer science research, with a focus on machine learning
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your PhD before the start-up date of the position. We are looking for applicants with a strong interest and expertise in computer science research, with a focus on machine learning methods for the health