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project on Bayesian comparisons between artificial and natural representations to improve our understanding how natural and artificial intelligences process information. The project is led by Heiko Schütt
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Qualification: PhD in Computer Science Experience in dependable systems, real-time and embedded systems and/or operating systems and the threats and attacks they are exposed to is highly valuable
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Successful candidate will join the Clinical and Translational Informatics, led by Dr. Venkata Satagopam, which focuses on bridging translational medicine and bioinformatics through innovative data
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) indicating reference to the subject areas mentioned above Contact information of at least two referees Early application is highly encouraged, as the applications will be processed upon reception. To ensure
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diseases. We exploit genomic and post-genomic data to fill gaps in metabolic networks, discover new enzyme functions, and elucidate their role in disease. For more information, please visit our website
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of recent research and projects Sketch of planned research and publication activities (2 pages each) Contact information of at least two referees Early application is highly encouraged, as the applications
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. For further information or inquiries, please contact Prof. Dr. Jun Pang directly.
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spending time also in Cambridge and Lisbon. For further information please see the website of the ESMP group, www.lcsoftmatter.com , or contact Prof. Jan Lagerwall, jan.lagerwall@uni.lu
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We seek a highly motivated bioinformatician or computational biologist who is well versed in the statistical and machine learning analysis of biomedical data and bioscientific programming for a
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promotes an inclusive culture. We encourage applications from individuals of all backgrounds and are dedicated to upholding equality and respect for our employees and students. General information: Contract