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Job description: At the University of Vienna almost 11,000 personalities work together towards answering the big questions of the future. Around 7,700 of them do research and teaching, around 3,000
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) Position C Powering data-driven sustainability assessment tasks in agri-food systems with IoT-data Datlakes and Large Language Models. Aarhus University (DK) & Université Libre Bruxelles (BE) Position D
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model for large scale assessments and projections of the land-water carbon cycle to variation in climate conditions. The detailed direction of the PhD studies will be discussed and decided jointly with
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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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, (bio)informatics, and multimodal data analysis. The research group led by Dr. Johanna Raidt focuses on the identification of known and novel MMAF- and PCD gene variants using large patient cohorts
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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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mechanisms and translate them into novel therapeutic strategies for neuroimmunologic diseases. The PhD Project involves: Planning and performing innovative large-scale experiments bridging human patient
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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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fundamental values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving
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Declaration of interest regarding PhD project within the field of biomarker and therapeutic targe...
blood-based biomarker assay. Mechanistic studies will be conducted in a neonatal large-animal model of cholestatic liver injury, where the student will participate in in vivo interventions, longitudinal