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for feature extraction, which can serve as parameters in simulation. Alternatively, machine learning methods can be employed for comparison with the primary analysis-based approach. The objectives of this PhD
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responsibilities of the candidate: Developing innovative approaches: You will be responsible for developing machine learning and algorithms to manage and analyze next-generation sequencing data to understand its
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Associate Professor Mehrdad Rakaee. Key responsibilities of the candidate: Developing innovative approaches: You will be responsible for developing machine learning and algorithms to manage and analyze next
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included in the application. The perfect candidate has a strong background in computer science, programming, data analytics (statistics and/or machine learning) and/or data security. Applicants must document
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) to build library of spectra as a pathogen ID. Explore one of more of the following options: Explore use of machine learning and AI for classification of pathogens in co-operation with other team members
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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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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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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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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