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Field
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Levin Kuhlmann Research area Machine Learning We are seeking a highly motivated and innovative PhD student interested in exploring the opportunities for using AI to enhance personalisation of services and
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appropriate related research duties to further the mission of NPRE. Minimum Qualifications : PhD in bioengineering, electrical engineering, nuclear engineering (with PhD thesis in radiological science and
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Description of the workplace The position is at the Department of Computer Science within a growing research group in foundations of computer science at Lund University. We expect to have 8 PhD
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pipelines. Assists in analysis pipeline and algorithms development and validation. Extracts feature of interest from data relating to specific biological questions. Contributes to the development and
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scientists at the Algorithmic Transparency Institute (a project of the National Conference on Citizenship) and other academic and non-profit organizations on data collection, analysis, academic reporting
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AI-enabled digital technologies for the resilient operation of power systems School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Xin Zhang Application Deadline
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diabetes and prediabetes by analysing voice patterns, providing a non-invasive and innovative method for early diagnosis. Specifically, this project will develop novel deep learning algorithms, and audio and
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focuses on advances in machine learning and its application to causal inference and prediction via Targeted Learning, which allows the use of machine learning algorithms for prediction and estimating so
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team. You will lead in the design and implementation of statistical and computational algorithms of different datasets, and implement novel algorithms within the framework of existing code, providing
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undergraduate courses related to programming language, operating systems, computer architecture, data structures, and/or algorithms. Participating in service-related activities, such as serving on departmental