33 phd-position-in-data-modeling-"Prof"-"Prof" positions at Linköping University in Sweden
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/linkoping-university-27778-phd-position-in-ai-for-trans… Requirements Additional Information Work Location(s) Number of offers available1Company/InstituteLinköping UniversityCountrySwedenGeofield STATUS
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, where models learn to restore images using only the noisy data itself — without requiring clean references. Existing approaches often rely on convolutional neural networks (CNNs), which identify local
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Number 853--1-27417 Is the Job related to staff position within a Research Infrastructure? No Offer Description The Division of Biology at Linköping University invites applications for a four-year PhD to
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verifiability for AI systems, based at the Department of Computer and Information Science. These positions are funded by the Wallenberg AI, Autonomous Systems and Software Program (WASP). Wallenberg AI
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application! We are now looking for two PhD students in language and culture. Your work assignments Your main task will be to write a doctoral dissertation. You will write the thesis in English or Swedish and
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application! We are looking for up to two PhD students in trustworthy machine learning, with a particular focus on cybersecurity, privacy, and verifiability for AI systems, based at the Department of Computer
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scientifically and pedagogically in order to meet the requirements for eligibility for a position as a associate professor. At Linköping University, we are looking to fill the position as DDLS fellow in Data
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employment https://liu.se/en/work-at-liu/vacancies/27309 Your work assignments The PhD position is part of an interdisciplinary research project called “c/o Glass - making flat glass circular in the built
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, particularly MIMO radar, and wave propagation channel modelling is highly desirable. We place particular emphasis on your ability to apply an interdisciplinary approach to problem-solving or your willingness
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involves collecting clinical data on the effects of childhood cancer treatment, bioinformatically handling sequence data and developing prediction models, as well as conducting Single Cell RNASeq studies and