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and digital learning resources. This position requires a strong commitment to teaching legal research and technology skills essential to the practice of law, and a deep understanding of the Law School’s
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try again. UiO/Anders Lien 16th October 2026 Languages English English English PhD Research Fellow in Machine Learning and Statistics Apply for this job See advertisement About the position Integreat
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, Signal Processing, Machine Learning, or a related field. An advanced degree (eg. Masters/PhD or equivalent) is preferred. Research background in Deep Learning, Large Language Models (LLMs), or Large
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another relevant technical discipline. Strong background in computer vision, machine learning, and deep learning. Experience with geometric deep learning or graph neural networks is highly desirable. Strong
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methods for the animation of 3D human avatars using Python and Pytorch Capturing of training data using Motion Capture Systems Setting up and evaluating experiments on machine learning model performance
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of these approaches quickly, in a data-based and reliable manner. Your main tasks include: Method development: you compare and decide on methods of Machine Learning (ML) and Artificial Intelligence (AI), such as
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vision, navigation and planning. Some of your key responsibilities include: - Developing software that can be deployed to UAVs. - Carrying out research relevant to the above, in particular in the space of
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closely with team members (data scientists, software engineers, and faculty) to adapt code used for data wrangling, machine learning, and optimisation to the specific needs of projects; and contributing
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position We have a vacancy for a PhD candidate in machine learning
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(Master's or University Diploma) in a relevant discipline (Computer Science, Aerospace Engineering, Mechanical Engineering, Physics or similar). Sound knowledge of the fundamentals of Machine Learning, as