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, Department of Health Science and Technology, one or more PhD stipends in Unsupervised Learning for Medical Image Analysis are available for appointment from November 1, 2026, or as soon as possible thereafter
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, sensing, machine learning, and robotics. Qualification requirements PhD stipends are allocated to individuals who hold a Master's degree. PhD stipends are normally for a period of 3 years. It is a
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topics: Development of deep learning models Mathematical foundations of machine learning Optimal deployment of AI systems The candidate is expected to hold a relevant MSc degree in Computer Science
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machine learning methods to explore how meltwater — at the surface and at the ice sheet bed — is coupled to ice flow. Building on this, you will also examine how meltwater and ice dynamics influence
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Faculty of IT and Design invites applications for a PhD stipend in the field of secure machine learning within the general study programme Electronic and Electrical Engineering; as per November 1, 2026, or
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learning research, possessing a combination of mathematical maturity and advanced engineering skills: Education: A PhD in Computer Science, Mathematics, Statistics, or Theoretical Physics at the time of
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teaching assistantship duties. Expected Skills and Qualifications: We are seeking a candidate with a strong desire to make significant contributions to fundamental machine learning research
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Biotech Research and Innovation Centre, The Lund Group, University of Copenhagen | Denmark | about 1 month ago
project is conducted in collaboration with the deep probabilistic programming group of Thomas Hamelryck: https://di.ku.dk/english/research/groups/machine-learning-in-biology/?pure=en/persons/271052
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-motivated-language-model-security/ , and an Erasmus+ project on AI-based Personal Language Learning Assistants in collaboration with VSKDansk https://www.brondby.dk/om-kommunen/nyheder/2025/08/vskdansk-far
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-time data into WRF-Chem • You will be contributing to the development of machine learning models used on data from Poleno Jupiters, applying Python and machine learning. • The position will focus