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27th May 2024 Languages English English English PhD Research Fellow in machine-learning methods for education research Apply for this job See advertisement About the position A position in a
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JavaScript for all functions to work properly. Please turn on JavaScript in your browser and try again. 27th May 2024 Languages English English English PhD Research Fellow in machine-learning methods
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develop and apply machine learning potentials (MLP) to model, understand, and optimize proton and hydroxide conductivity of metal-organic frameworks for potential use as ion exchange membranes in fuel cells
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following areas: foundations of software engineering, in particular software verification, program analysis and/or formal modelling event-recording automata, automata learning and/or process mining software
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Experience with machine learning and statistical methods, especially in healthcare. Experience with federated learning. Knowledge about the health care system in Norway Good written and oral English and
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such as postdoctoral fellow, Ph.D Candidate, research assistant and specialist candidate. Preferred selection criteria Experience with machine learning and statistical methods, especially in healthcare
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to develop highly automated tools to aid decision-makers facing the future challenges of the NBM. Meanwhile, AI and Machine learning techniques offer new opportunities to revolutionize the design and operation
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and strong influential skills. Eager to learn with a high desire to perform and disseminate high-quality research. Emphasis will be placed on personal and interpersonal qualities. We offer exciting and
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/index.html ). The role of the PhD fellow will be to (1) develop and apply machine learning techniques and statistical analyses, including Cox Proportional Hazard models and polygenic hazard scoring, to fit and
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ability to work in an international research team. Effective communication and negotiation skills, both written and verbal persuasiveness and strong influential skills. Eager to learn with a high desire to