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The Learning Machines group seeks motivated PhD students to join our team working on learning in physical systems. What are learning machines? Imagine your favorite artificial intelligence machine
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interpretability and predictive accuracy. We want to explore the structural parameters in choice models (e.g., random coefficient logit models) and obtain valid inferential results using machine learning-enhanced
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well on various excellence ranking lists. FEBRI, the graduate school and research institute of the Faculty of Economics and Business has one PhD position in the field of Machine learning meets choice
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PhD Machine learning meets choice models (1.0 FTE) (V24.0232) « Back to the overview Job description Since its foundation in 1614, the University of Groningen has enjoyed an international reputation
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to announce a joint open PhD position in Improving Machine Learning Methods for Contingent Claim Pricing and Hedging. The project will focus on, but will not necessarily be limited to, a promising relatively
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the development of foundation models that have expanded the boundaries of machine capabilities. However, learning these models requires direct access to vast data repositories, which poses significant privacy and
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of machine capabilities. However, learning these models requires direct access to vast data repositories, which poses significant privacy and logistical challenges, especially in the health sensing domain
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humanities on AI safety and explainability. Reviewing technical literature on machine learning and explainable AI. Developing a normative evaluation framework for the use of explainable AI in machine vision
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academic knowledge. These facilities, combined with our knowledge of deep learning and computer vision, make our research group a vibrant environment full of opportunities. We are looking for a content
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for a motivated Senior Research Assistant with expertise and knowledge in cancer immunotherapy and genetic engineering of (immune) cells. Join our exciting CAR-NK therapy program and translational