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Field
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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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Requirements: Frequent exposure to pressure caused by deadlines and busy periods. Ability to communicate, including expressing oneself or exchanging information with others. Ability to use computer daily
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Are you passionate about pushing the frontiers of machine learning, computer vision, and their applications in medical imaging? Join the Computer Vision Group as a PhD student specializing in deep
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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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in nature, including additive manufacturing, computer simulations, materials testing, and characterization of 3D structures using tomographic techniques. You will also work with architects, designers
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. What do you have to offer? You have strong analytical and critical thinking abilities, you are enthusiastic and self-motivated when it comes to learning new skills or exploring new topics, and you have
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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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have the opportunity to apply machine learning image processing techniques to guide theory with experimental analyses. Your research will lead to new discoveries and a close interaction with our
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numerically either using classical optimisation approaches which select a single solution (that may be an artefact of the choice of optimizer) or using tools from statistics and machine learning such as
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. The need to predict the transition state structure as input for quantum chemical barrier predictions adds further complications. Machine learning (ML) models of quantum chemistry can achieve fast and