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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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profile PhD in Electrical Engineering, Computer Science, Applied Mathematics, or a closely related fieldStrong research track record, preferably with publications in leading AI and Computer Vision
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strategic solution capabilities required to excel in a data-driven economy. Discipline, including, but not limited to: Business Information Systems, Venture Creation, Business and Data Analytics, Financial
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Experience in mathematical modelling, statistical inference, simulation studies, and data analysis Expert knowledge in relevant programming languages (e.g. R, Python, Julia, C++) Analytical and structured way
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, molecular engineering, and advanced cell-and EV-engineering and analytical technologies for examining the effects of engineering on EV biology and to translate fundamental discoveries into next-generation
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Technology has a broad research focus on topics of business analytics and operations research. The interdisciplinary group aims to develop novel approaches for solving complex decision problems and explaining
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Tenure Track in Sensory and Consumer Science at Department of Food Science, Aarhus University, De...
has access to state of the art well-established sensory and analytical facilities, and advanced infrastructure, with a professional, trained and screened sensory panel and an ISO-approved sensory
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2021; Khoshkhoo et al. JAMA Neurology 2023; Farrell et al. Nature 2024; Bizzotto et al. PNAS 2025; Khoshkhoo et al. bioRxiv 2026. For more information, please check our websites at https
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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, computer science or other relevant fields. Candidates with strong background in machine learning/AI and/or data science and interest in applying analytical methods to large-scale molecular and health data