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computational models with microbiome-driven mechanisms and lay the groundwork for studies on microbiome modulation as a therapeutic strategy. Integrating clinical expertise and advanced molecular analyses ensures
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of pathophysiological disease mechanisms at the cellular and molecular level. The section holds clinical teaching and service obligations within companion animal diagnostic imaging, neurology, cardiology, surgery and
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computational models with microbiome-driven mechanisms and lay the groundwork for studies on microbiome modulation as a therapeutic strategy. Integrating clinical expertise and advanced molecular analyses ensures
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. policies, protocols and mechanisms for (biometric) authentication and access control Network Security Technologies, Architectures and Protocols Computer and Network Forensics Reverse Engineering and Malware
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Job Description The Section Digital and High-Frequency Electronics at the Institute of Mechanical and Electrical Engineering at the Faculty of Engineering of the University of Southern Denmark
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structural design tools and testing methods for very large wind turbine structures. The job We are seeking a software development engineer with a strong background in mechanical engineering, numerical methods
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of electron microscopy imaging and spectroscopy to reveal the structure–property relationships that govern molecular adsorption mechanisms. This interdisciplinary project is fully funded by DTU’s PhD grant
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on the modelling and optimisation of PRO systems using advanced Computational Fluid Dynamics (CFD) and Machine Learning (ML) techniques. This role offers an exciting opportunity to contribute to cutting-edge
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laboratories, core and animal facilities. You will work in the brand new ‘Skou Building’ located at the Aarhus University Campus. About the research group The Laboratory for Gene-Regulatory Mechanisms in Cancer
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. You will join the Junior Innovator program at Aarhus University, comprising young researchers from across all faculties. You will be encouraged to and supported in applying for external funding e.g