11 machine-learning-and-image-processing PhD positions at University of Basel in Switzerland
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Your profile PhD applicants must possess a Master's degree in mathematics, theoretical physics, or computer science. Candidates should have an exceptional academic record and a robust mathematical foundation. While research experience is advantageous for PhD applicants, it is not...
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We invite applications for a PhD position in computer-aided drug design at the Computational Pharmacy Group, Department of Pharmaceutical Sciences, University of Basel. This position is part of
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Your profile PhD applicants must possess a Master's degree in mathematics, theoretical physics, or computer science with a strong theoretical focus. Candidates should have an exceptional academic record and a robust mathematical foundation. While research experience is advantageous for PhD...
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Your position Our group conducts research at the intersection of artificial intelligence (AI) and pediatric healthcare, developing AI and machine learning (ML) methods to address real-world clinical
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Your position Magnetic resonance imaging (MRI), developed in the early 1970s, offers exceptional soft tissue sensitivity and has powered the astounding progress of medicine over the past fifty years
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Graduate School at the Center for the Theory and History of the Image at the University of Basel invites applications for two positions for doctoral study on the theory and history of the image for four
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explaining urban change in Hong Kong and Taipei exclusively in terms of tiger economics or the developmentalist state, beyond techno-positivism and growth machine dogmas, ASPIRA recognizes defiance as the
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of the environment, including the role of humans, is as important as understanding the variety of processes in Earth and human history. The University of Basel has an international reputation for its outstanding
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project examines the key processes, actors and cultural accommodations that drove unprecedented levels of natural resource consumption in industrial societies in the 20th century. Offering an innovative new
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, and to changes in the composition of organic matter input from plants. To improve our process-based understanding of how carbon cycling will change in the soils of central European forests under drought