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use cutting edge machine learning and data mining techniques to gain novel insights and advance our understanding of the rules defining T and B cell immunogenicity. If you are looking for the best
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and optimize methods to measure neuronal activity and morphology.Combine the two methods to detect the cell type and neuronal physiology in one experiment. Computational & Data Analysis Apply advanced
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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materials synthesis, advanced operando characterization, and lab scale testing. We use robotic, high-throughput methods, and data science to accelerate novel sustainable materials discovery. PhD Position
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methods for the analysis of large-scale genomic, clinical, and phenotypic data, including phenome-wide association studies (PheWAS), statistical genetics, and precision medicine applications. This includes
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(FNR) and the partner institutions. Our DTU focuses on microbiome-mediated pathogenesis through microbiology and big data analytics. The programme offers transferable skills training, career development
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research group “Machine Learning for Biomedical Data” led by Prof. Dominik Heider and is embedded in the DFG-funded Collaborative Research Centre 1748, Principles of Reproduction. The CRC 1748 involves
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Assists in performing investigative research under the mentorship in a particular area(s) of study. Publishes and presents data in a timely manner. Works collaboratively with other investigators
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project meetings / secondments Collaborate with external industrial and academic partners Disseminate research findings through publications and conference presentations For further information please
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and